All years
, All years
Using Deep Nets to Understand Visual Recognition in Mind and Brain
Lecture
Tuesday, May 11, 2021
Hour: 15:00 - 16:00
Location:
Using Deep Nets to Understand Visual Recognition in Mind and Brain
Prof. Nancy Kanwisher
Dept of Neuroscience, Brain and Cognitive Sciences,
McGovern Institute for Brain Research, MIT, USA
In this talk I will describe two ongoing lines of work from my lab that use deep nets to better understand visual recognition and its neural and computational basis in the brain, by testing precise computational models against fMRI data from the ventral visual pathway, and by providing clues into why face recognition works the way it does in the human mind and brain.
Zoom link to join-
https://weizmann.zoom.us/j/96608033618?pwd=SEdJUkR2ZzRBZ3laUUdGbWR1VFJTdz09
Meeting ID: 966 0803 3618
Password: 564068
Host: Dr. Rita Schmidt rita.schmidt@weizmann.ac.il tel: 9070
Neuropixels probes - two stories about development and use
Lecture
Thursday, May 6, 2021
Hour: 12:30 - 13:30
Location:
Neuropixels probes - two stories about development and use
Dr. Michael Okun
Department of Neuroscience, Psychology and Behaviour,
University of Leicester, UK
The first part of the presentation will describe the Neuropixels 2.0 probe, focusing on its ability to stably record from the same neurons across days and weeks in chronically implanted mice. The second part will describe the effects of psychedelic and intrinsic brain state transitions on the firing rates of neuronal populations, as revealed by high count Neuropixels recordings.
Zoom link:
https://weizmann.zoom.us/j/96608033618?pwd=SEdJUkR2ZzRBZ3laUUdGbWR1VFJTdz09
Meeting ID: 966 0803 3618
Password: 564068
Host: Prof. Ilan Lampl ilan.lampl@weizmann.ac.il tel: 3179
The Vagus Nerve and Physiology of Reward and Digestion
Lecture
Tuesday, May 4, 2021
Hour: 15:00
Location:
The Vagus Nerve and Physiology of Reward and Digestion
Prof. Ivan E de Araujo
Neuroscience Dept, Diabetes, Obesity and Metabolism Institute
Icahn School of Medicine at Mount Sinai
The presentation will discuss recent evidence supporting a role for the gut-brain axis in controlling brain circuits involved in reward. It will be argued that sensory neurons of vagus nerve function as reward neurons. Via defined brainstem targets, vagal signals dopaminergic brain reward circuits in midbrain. The mapping of these circuits opens a window into how signals generated by internal body organs give rise to motivated and emotional behaviors.
Zoom link to join-
https://weizmann.zoom.us/j/96608033618?pwd=SEdJUkR2ZzRBZ3laUUdGbWR1VFJTdz09
Meeting ID: 966 0803 3618
Password: 564068
Host: Dr. Rita Schmidt rita.schmidt@weizmann.ac.il tel: 9070
Neural correlates of future weight loss reveal a possible role for brain-gastric interactions
Lecture
Tuesday, April 27, 2021
Hour: 12:30 - 13:30
Location:
Neural correlates of future weight loss reveal a possible role for brain-gastric interactions
Prof. Galia Avidan
Dept of Psychology
Ben Gurion University of the Negev
Lifestyle dietary interventions are an essential practice in treating obesity, hence neural factors that may assist in predicting individual treatment success are of great significance. Here, in a prospective, open-label, three arms study, we examined the correlation between brain resting-state functional connectivity measured at baseline and weight loss following 6 months of lifestyle intervention in 92 overweight participants. We report a robust subnetwork composed mainly of sensory and motor cortical regions, whose edges correlated with future weight loss. This effect was found regardless of intervention group. Importantly, this main finding was further corroborated using a stringent connectivity-based prediction model assessed with cross-validation thus attesting to its robustness. The engagement of senso-motor regions in this subnetwork is consistent with the over-sensitivity to food cues theory of weight regulation. Finally, we tested an additional hypothesis regarding the role of brain-gastric interaction in this subnetwork, considering recent findings of a cortical network synchronized with gastric activity. Accordingly, we found a significant spatial overlap with the subnetwork reported in the present study. Moreover, power in the gastric basal electric frequency within our reported subnetwork negatively correlated with future weight loss. This finding was specific to the weight loss related subnetwork and to the gastric basal frequency. These findings should be further corroborated by combining direct recordings of gastric activity in future studies. Taken together, these intriguing results may have important implications for our understanding of the etiology of obesity and the mechanism of response to dietary intervention as well as to interoceptive perception.
Zoom link to join:
https://weizmann.zoom.us/j/96608033618?pwd=SEdJUkR2ZzRBZ3laUUdGbWR1VFJTdz09
Meeting ID: 966 0803 3618
Password: 564068
Host: Dr. Rita Schmidt rita.schmidt@weizmann.ac.il tel: 9070
New insights on continuous attractor neural networks
Lecture
Tuesday, April 20, 2021
Hour: 12:30
Location:
New insights on continuous attractor neural networks
Prof. Yoram Burak
Racah Institute of Physics and Edmond and Lily Safra Center for Brain Sciences
The Hebrew University of Jerusalem
One of the most fundamental concepts in theoretical neuroscience is that of an attractor neural network, in which recurrent synaptic connectivity constraints the joint activity of neurons into a highly restricted repertoire of population activity patterns. In continuous attractor networks, these activity patterns span a continuous, low-dimensional manifold. I will survey two recent works from my group that are related to this concept. The first work is concerned with fixational eye drifts, a form of eye motion that occurs between saccades and is characterized by smooth, yet random, diffusive-like motion. This motion is tiny compared to saccadic eye motion, yet it is highly consequential for high-acuity vision. Even though fixational drift has been identified at least as early as the 19th century, its mechanistic origins have remained completely unknown. We hypothesize that the main drive for fixational drifts arises in diffusive motion along a line-attractor memory network - the oculomotor network, which is responsible for maintaining a fixed activation of the ocular muscles between saccades. I will present evidence in support of this hypothesis, coming from electrophysiology in monkeys and from theoretical modeling. The second work is concerned with the ability of a single recurrent neural network to express activity patterns that span multiple yet distinct continuous manifolds, a question that has been of interest in the context of spatial coding, across multiple environments, in area CA3 of the hippocampus.
Zoom link to join-
https://weizmann.zoom.us/j/96608033618?pwd=SEdJUkR2ZzRBZ3laUUdGbWR1VFJTdz09
Meeting ID: 966 0803 3618
Password: 564068
Host: Dr. Rita Schmidt rita.schmidt@weizmann.ac.il tel: 9070
Uncovering the Boundaries of Olfactory Perception
Lecture
Monday, April 19, 2021
Hour: 15:00 - 16:00
Location:
Uncovering the Boundaries of Olfactory Perception
Aharon Ravia (PhD Thesis Defense)
Prof. Noam Sobel Lab,
Dept of Neurobiology
Prof. David Harel Lab, Dept of Computer Science and Applied Mathematics WIS
The question of how to measure a smell has troubled scientists for over a century. It was none other than Alexander Graham Bell that raised the challenge: "we have very many different kinds of smells, all the way from the odor of violets and roses up to asafoetida. But until you can measure their likenesses and differences you can have no science of odor”. Such a measure of smell can be naturally derived from a model of olfactory perceptual quality space, and several such models have recently been put forth. These typically rely on finding mathematical rules that link odorant structure to aspects of odor perception.
Here, I collected 49,788 perceptual odor estimates from 199 participants, and built such a model, finalizing a physicochemical measure of smell. This measure, expressed in radians, predicts real-world odorant pairwise perceptual similarity from odorant structure alone. Using this measure, I met Bell's challenge by accurately predicting the perceptual similarity of rose, violet and asafoetida, from their physicochemical structure. Next, based on thousands of comparisons, I identified a cutoff in this measure, below 0.05 radians, where discrimination between pairs of mixtures becomes highly challenging. To assess the usefulness of this measure, I investigated whether it can be used to create olfactory metamers, namely non-overlapping molecular compositions that share a common percept. Characterizing the link between physical structure and ensuing perception in vision and audition, and the creation of perceptual entities such as metamers, was important towards understanding their underlying dimensionality, brain mechanisms, and towards their ultimate digitization. I suggest that olfactory metamers can similarly aid these goals in olfaction.
Zoom link to join: https://weizmann.zoom.us/j/93360836031?pwd=dDZEdTQ1QUkxUVVONVErVm9CcUJWQT09
Meeting ID: 933 6083 6031
Password: 591230
Dissecting the functional organization of sensory neurons in gut-brain communication
Lecture
Tuesday, April 13, 2021
Hour: 12:30
Location:
Dissecting the functional organization of sensory neurons in gut-brain communication
Dr. Henning Fenselau
Max Planck Institute for Metabolism Research, Cologne, Germany
Sensory neurons relay gut-derived signals to the brain, and thereby contribute to systemic energy and glucose homeostasis regulation. However, the relevant sensory neuronal populations innervating the gut along with the pertaining underlying functional neurocircuits remain poorly understood. Advances in this field have been impeded by the challenges associated with targeting distinct sensory neurons of vagal and spinal origin in a cell-type-specific manner, thereby making the accurate determination of their function highly difficult. We employ a combinatorial set of modern molecular systems neuroscience tools and novel mouse genetic approaches to elucidate the role of molecularly defined sensory neurons in feeding behavior and glucose metabolism, and map their downstream neurocircuits in the brain. The overarching goal of our studies is to gain greater insights into the integral components of sensory neurons as gut-to-brain connectors in controlling metabolism.
Zoom link to join-
https://weizmann.zoom.us/j/96608033618?pwd=SEdJUkR2ZzRBZ3laUUdGbWR1VFJTdz09
Meeting ID: 966 0803 3618
Password: 564068
Host: Dr. Rita Schmidt rita.schmidt@weizmann.ac.il tel: 9070
Cellular and circuit basis of distinct memory formation in the hippocampus
Lecture
Tuesday, April 6, 2021
Hour: 12:30
Location:
Cellular and circuit basis of distinct memory formation in the hippocampus
Dr. Christoph Schmidt-Hieber
Department of Neuroscience,
Institut Pasteur, Paris
Formation and retrieval of distinct memories are complementary processes that put conflicting requirements on neuronal computations in the hippocampus, especially when memories closely resemble each other. How this challenge is resolved in hippocampal circuits to guide memory-based decisions is unclear. To address this question, our group uses in vivo 2-photon calcium imaging and whole-cell recordings from hippocampal subregions in head-fixed mice trained to distinguish between novel and familiar virtual-reality environments. We find that granule cells consistently show a small transient depolarization of their membrane potential upon transition to a novel environment. This synaptic novelty signal is sensitive to local application of atropine, indicating that it depends on metabotropic acetylcholine receptors. A computational model suggests that the observed transient synaptic response to novel environments leads to a bias in the granule cell population activity, which can in turn drive the downstream attractor networks to a new state, thereby favoring the switch from generalization to discrimination when faced with novelty. Such a novelty-driven cholinergic switch may enable flexible encoding of new memories while preserving stable retrieval of familiar ones.
zoom link to join-https://weizmann.zoom.us/j/96608033618?pwd=SEdJUkR2ZzRBZ3laUUdGbWR1VFJTdz09
Meeting ID: 966 0803 3618
Password: 564068
Host: Dr. Rita Schmidt rita.schmidt@weizmann.ac.il tel: 9070
Uncovering Olfactory Perception Boundaries
Lecture
Thursday, March 25, 2021
Hour: 15:00 - 16:00
Location:
Uncovering Olfactory Perception Boundaries
Aharon Ravia (PhD Thesis Defense)
Prof. Noam Sobel Lab, Dept of Neurobiology
Prof. David Harel Lab, Dept of Computer Science and Applied Mathematics
The question of how to measure a smell has troubled scientists for over a century. It was none other than Alexander Graham Bell that raised the challenge: "we have very many different kinds of smells, all the way from the odor of violets and roses up to asafoetida. But until you can measure their likenesses and differences you can have no science of odor”. Such a measure of smell can be naturally derived from a model of olfactory perceptual quality space, and several such models have recently been put forth. These typically rely on finding mathematical rules that link odorant structure to aspects of odor perception.
Here, I collected 49,788 perceptual odor estimates from 199 participants, and built such a model, finalizing a physicochemical measure of smell. This measure, expressed in radians, predicts real-world odorant pairwise perceptual similarity from odorant structure alone. Using this measure, I met Bell's challenge by accurately predicting the perceptual similarity of rose, violet and asafoetida, from their physicochemical structure. Next, based on thousands of comparisons, I identified a cutoff in this measure, below 0.05 radians, where discrimination between pairs of mixtures becomes highly challenging. To assess the usefulness of this measure, I investigated whether it can be used to create olfactory metamers, namely non-overlapping molecular compositions that share a common percept. Characterizing the link between physical structure and ensuing perception in vision and audition, and the creation of perceptual entities such as metamers, was important towards understanding their underlying dimensionality, brain mechanisms, and towards their ultimate digitization. I suggest that olfactory metamers can similarly aid these goals in olfaction.
Zoom link to join: https://weizmann.zoom.us/j/93360836031?pwd=dDZEdTQ1QUkxUVVONVErVm9CcUJWQT09
Meeting ID: 933 6083 6031
Password: 591230
Re-rendering Reality
Lecture
Thursday, March 25, 2021
Hour: 12:30 - 13:30
Location:
Re-rendering Reality
Prof. Tali Dekel
Department of Computer Science and Applied Mathematics
Weizmann Institute of Science
We all capture the world around us through digital data such as images, videos and sound. However, in many cases, we are interested in certain properties of the data that are either not available or difficult to perceive directly from the input signal. My goal is to “Re-render Reality”, i.e., develop algorithms that analyze digital signals and then create a new version of it that allows us to see and hear better. In this talk, I’ll present a variety of methodologies aimed at enhancing the way we perceive our world through modified, re-rendered output. These works combine ideas from signal processing, optimization, computer graphics, and machine learning, and address a wide range of applications. More specifically, I’ll demonstrate how we can automatically reveal subtle geometric imperfection in images, visualize human motion in 3D, and use visual signals to help us separate and mute interference sound in a video.
Zoom link to join:
https://weizmann.zoom.us/j/96608033618?pwd=SEdJUkR2ZzRBZ3laUUdGbWR1VFJTdz09
Meeting ID: 966 0803 3618
Password: 564068
Host: Dr. Rita Schmidt rita.schmidt@weizmann.ac.il tel: 9070
Pages
All years
, All years
Neuropixels probes - two stories about development and use
Lecture
Thursday, May 6, 2021
Hour: 12:30 - 13:30
Location:
Neuropixels probes - two stories about development and use
Dr. Michael Okun
Department of Neuroscience, Psychology and Behaviour,
University of Leicester, UK
The first part of the presentation will describe the Neuropixels 2.0 probe, focusing on its ability to stably record from the same neurons across days and weeks in chronically implanted mice. The second part will describe the effects of psychedelic and intrinsic brain state transitions on the firing rates of neuronal populations, as revealed by high count Neuropixels recordings.
Zoom link:
https://weizmann.zoom.us/j/96608033618?pwd=SEdJUkR2ZzRBZ3laUUdGbWR1VFJTdz09
Meeting ID: 966 0803 3618
Password: 564068
Host: Prof. Ilan Lampl ilan.lampl@weizmann.ac.il tel: 3179
The Vagus Nerve and Physiology of Reward and Digestion
Lecture
Tuesday, May 4, 2021
Hour: 15:00
Location:
The Vagus Nerve and Physiology of Reward and Digestion
Prof. Ivan E de Araujo
Neuroscience Dept, Diabetes, Obesity and Metabolism Institute
Icahn School of Medicine at Mount Sinai
The presentation will discuss recent evidence supporting a role for the gut-brain axis in controlling brain circuits involved in reward. It will be argued that sensory neurons of vagus nerve function as reward neurons. Via defined brainstem targets, vagal signals dopaminergic brain reward circuits in midbrain. The mapping of these circuits opens a window into how signals generated by internal body organs give rise to motivated and emotional behaviors.
Zoom link to join-
https://weizmann.zoom.us/j/96608033618?pwd=SEdJUkR2ZzRBZ3laUUdGbWR1VFJTdz09
Meeting ID: 966 0803 3618
Password: 564068
Host: Dr. Rita Schmidt rita.schmidt@weizmann.ac.il tel: 9070
Neural correlates of future weight loss reveal a possible role for brain-gastric interactions
Lecture
Tuesday, April 27, 2021
Hour: 12:30 - 13:30
Location:
Neural correlates of future weight loss reveal a possible role for brain-gastric interactions
Prof. Galia Avidan
Dept of Psychology
Ben Gurion University of the Negev
Lifestyle dietary interventions are an essential practice in treating obesity, hence neural factors that may assist in predicting individual treatment success are of great significance. Here, in a prospective, open-label, three arms study, we examined the correlation between brain resting-state functional connectivity measured at baseline and weight loss following 6 months of lifestyle intervention in 92 overweight participants. We report a robust subnetwork composed mainly of sensory and motor cortical regions, whose edges correlated with future weight loss. This effect was found regardless of intervention group. Importantly, this main finding was further corroborated using a stringent connectivity-based prediction model assessed with cross-validation thus attesting to its robustness. The engagement of senso-motor regions in this subnetwork is consistent with the over-sensitivity to food cues theory of weight regulation. Finally, we tested an additional hypothesis regarding the role of brain-gastric interaction in this subnetwork, considering recent findings of a cortical network synchronized with gastric activity. Accordingly, we found a significant spatial overlap with the subnetwork reported in the present study. Moreover, power in the gastric basal electric frequency within our reported subnetwork negatively correlated with future weight loss. This finding was specific to the weight loss related subnetwork and to the gastric basal frequency. These findings should be further corroborated by combining direct recordings of gastric activity in future studies. Taken together, these intriguing results may have important implications for our understanding of the etiology of obesity and the mechanism of response to dietary intervention as well as to interoceptive perception.
Zoom link to join:
https://weizmann.zoom.us/j/96608033618?pwd=SEdJUkR2ZzRBZ3laUUdGbWR1VFJTdz09
Meeting ID: 966 0803 3618
Password: 564068
Host: Dr. Rita Schmidt rita.schmidt@weizmann.ac.il tel: 9070
New insights on continuous attractor neural networks
Lecture
Tuesday, April 20, 2021
Hour: 12:30
Location:
New insights on continuous attractor neural networks
Prof. Yoram Burak
Racah Institute of Physics and Edmond and Lily Safra Center for Brain Sciences
The Hebrew University of Jerusalem
One of the most fundamental concepts in theoretical neuroscience is that of an attractor neural network, in which recurrent synaptic connectivity constraints the joint activity of neurons into a highly restricted repertoire of population activity patterns. In continuous attractor networks, these activity patterns span a continuous, low-dimensional manifold. I will survey two recent works from my group that are related to this concept. The first work is concerned with fixational eye drifts, a form of eye motion that occurs between saccades and is characterized by smooth, yet random, diffusive-like motion. This motion is tiny compared to saccadic eye motion, yet it is highly consequential for high-acuity vision. Even though fixational drift has been identified at least as early as the 19th century, its mechanistic origins have remained completely unknown. We hypothesize that the main drive for fixational drifts arises in diffusive motion along a line-attractor memory network - the oculomotor network, which is responsible for maintaining a fixed activation of the ocular muscles between saccades. I will present evidence in support of this hypothesis, coming from electrophysiology in monkeys and from theoretical modeling. The second work is concerned with the ability of a single recurrent neural network to express activity patterns that span multiple yet distinct continuous manifolds, a question that has been of interest in the context of spatial coding, across multiple environments, in area CA3 of the hippocampus.
Zoom link to join-
https://weizmann.zoom.us/j/96608033618?pwd=SEdJUkR2ZzRBZ3laUUdGbWR1VFJTdz09
Meeting ID: 966 0803 3618
Password: 564068
Host: Dr. Rita Schmidt rita.schmidt@weizmann.ac.il tel: 9070
Uncovering the Boundaries of Olfactory Perception
Lecture
Monday, April 19, 2021
Hour: 15:00 - 16:00
Location:
Uncovering the Boundaries of Olfactory Perception
Aharon Ravia (PhD Thesis Defense)
Prof. Noam Sobel Lab,
Dept of Neurobiology
Prof. David Harel Lab, Dept of Computer Science and Applied Mathematics WIS
The question of how to measure a smell has troubled scientists for over a century. It was none other than Alexander Graham Bell that raised the challenge: "we have very many different kinds of smells, all the way from the odor of violets and roses up to asafoetida. But until you can measure their likenesses and differences you can have no science of odor”. Such a measure of smell can be naturally derived from a model of olfactory perceptual quality space, and several such models have recently been put forth. These typically rely on finding mathematical rules that link odorant structure to aspects of odor perception.
Here, I collected 49,788 perceptual odor estimates from 199 participants, and built such a model, finalizing a physicochemical measure of smell. This measure, expressed in radians, predicts real-world odorant pairwise perceptual similarity from odorant structure alone. Using this measure, I met Bell's challenge by accurately predicting the perceptual similarity of rose, violet and asafoetida, from their physicochemical structure. Next, based on thousands of comparisons, I identified a cutoff in this measure, below 0.05 radians, where discrimination between pairs of mixtures becomes highly challenging. To assess the usefulness of this measure, I investigated whether it can be used to create olfactory metamers, namely non-overlapping molecular compositions that share a common percept. Characterizing the link between physical structure and ensuing perception in vision and audition, and the creation of perceptual entities such as metamers, was important towards understanding their underlying dimensionality, brain mechanisms, and towards their ultimate digitization. I suggest that olfactory metamers can similarly aid these goals in olfaction.
Zoom link to join: https://weizmann.zoom.us/j/93360836031?pwd=dDZEdTQ1QUkxUVVONVErVm9CcUJWQT09
Meeting ID: 933 6083 6031
Password: 591230
Dissecting the functional organization of sensory neurons in gut-brain communication
Lecture
Tuesday, April 13, 2021
Hour: 12:30
Location:
Dissecting the functional organization of sensory neurons in gut-brain communication
Dr. Henning Fenselau
Max Planck Institute for Metabolism Research, Cologne, Germany
Sensory neurons relay gut-derived signals to the brain, and thereby contribute to systemic energy and glucose homeostasis regulation. However, the relevant sensory neuronal populations innervating the gut along with the pertaining underlying functional neurocircuits remain poorly understood. Advances in this field have been impeded by the challenges associated with targeting distinct sensory neurons of vagal and spinal origin in a cell-type-specific manner, thereby making the accurate determination of their function highly difficult. We employ a combinatorial set of modern molecular systems neuroscience tools and novel mouse genetic approaches to elucidate the role of molecularly defined sensory neurons in feeding behavior and glucose metabolism, and map their downstream neurocircuits in the brain. The overarching goal of our studies is to gain greater insights into the integral components of sensory neurons as gut-to-brain connectors in controlling metabolism.
Zoom link to join-
https://weizmann.zoom.us/j/96608033618?pwd=SEdJUkR2ZzRBZ3laUUdGbWR1VFJTdz09
Meeting ID: 966 0803 3618
Password: 564068
Host: Dr. Rita Schmidt rita.schmidt@weizmann.ac.il tel: 9070
Cellular and circuit basis of distinct memory formation in the hippocampus
Lecture
Tuesday, April 6, 2021
Hour: 12:30
Location:
Cellular and circuit basis of distinct memory formation in the hippocampus
Dr. Christoph Schmidt-Hieber
Department of Neuroscience,
Institut Pasteur, Paris
Formation and retrieval of distinct memories are complementary processes that put conflicting requirements on neuronal computations in the hippocampus, especially when memories closely resemble each other. How this challenge is resolved in hippocampal circuits to guide memory-based decisions is unclear. To address this question, our group uses in vivo 2-photon calcium imaging and whole-cell recordings from hippocampal subregions in head-fixed mice trained to distinguish between novel and familiar virtual-reality environments. We find that granule cells consistently show a small transient depolarization of their membrane potential upon transition to a novel environment. This synaptic novelty signal is sensitive to local application of atropine, indicating that it depends on metabotropic acetylcholine receptors. A computational model suggests that the observed transient synaptic response to novel environments leads to a bias in the granule cell population activity, which can in turn drive the downstream attractor networks to a new state, thereby favoring the switch from generalization to discrimination when faced with novelty. Such a novelty-driven cholinergic switch may enable flexible encoding of new memories while preserving stable retrieval of familiar ones.
zoom link to join-https://weizmann.zoom.us/j/96608033618?pwd=SEdJUkR2ZzRBZ3laUUdGbWR1VFJTdz09
Meeting ID: 966 0803 3618
Password: 564068
Host: Dr. Rita Schmidt rita.schmidt@weizmann.ac.il tel: 9070
Uncovering Olfactory Perception Boundaries
Lecture
Thursday, March 25, 2021
Hour: 15:00 - 16:00
Location:
Uncovering Olfactory Perception Boundaries
Aharon Ravia (PhD Thesis Defense)
Prof. Noam Sobel Lab, Dept of Neurobiology
Prof. David Harel Lab, Dept of Computer Science and Applied Mathematics
The question of how to measure a smell has troubled scientists for over a century. It was none other than Alexander Graham Bell that raised the challenge: "we have very many different kinds of smells, all the way from the odor of violets and roses up to asafoetida. But until you can measure their likenesses and differences you can have no science of odor”. Such a measure of smell can be naturally derived from a model of olfactory perceptual quality space, and several such models have recently been put forth. These typically rely on finding mathematical rules that link odorant structure to aspects of odor perception.
Here, I collected 49,788 perceptual odor estimates from 199 participants, and built such a model, finalizing a physicochemical measure of smell. This measure, expressed in radians, predicts real-world odorant pairwise perceptual similarity from odorant structure alone. Using this measure, I met Bell's challenge by accurately predicting the perceptual similarity of rose, violet and asafoetida, from their physicochemical structure. Next, based on thousands of comparisons, I identified a cutoff in this measure, below 0.05 radians, where discrimination between pairs of mixtures becomes highly challenging. To assess the usefulness of this measure, I investigated whether it can be used to create olfactory metamers, namely non-overlapping molecular compositions that share a common percept. Characterizing the link between physical structure and ensuing perception in vision and audition, and the creation of perceptual entities such as metamers, was important towards understanding their underlying dimensionality, brain mechanisms, and towards their ultimate digitization. I suggest that olfactory metamers can similarly aid these goals in olfaction.
Zoom link to join: https://weizmann.zoom.us/j/93360836031?pwd=dDZEdTQ1QUkxUVVONVErVm9CcUJWQT09
Meeting ID: 933 6083 6031
Password: 591230
Re-rendering Reality
Lecture
Thursday, March 25, 2021
Hour: 12:30 - 13:30
Location:
Re-rendering Reality
Prof. Tali Dekel
Department of Computer Science and Applied Mathematics
Weizmann Institute of Science
We all capture the world around us through digital data such as images, videos and sound. However, in many cases, we are interested in certain properties of the data that are either not available or difficult to perceive directly from the input signal. My goal is to “Re-render Reality”, i.e., develop algorithms that analyze digital signals and then create a new version of it that allows us to see and hear better. In this talk, I’ll present a variety of methodologies aimed at enhancing the way we perceive our world through modified, re-rendered output. These works combine ideas from signal processing, optimization, computer graphics, and machine learning, and address a wide range of applications. More specifically, I’ll demonstrate how we can automatically reveal subtle geometric imperfection in images, visualize human motion in 3D, and use visual signals to help us separate and mute interference sound in a video.
Zoom link to join:
https://weizmann.zoom.us/j/96608033618?pwd=SEdJUkR2ZzRBZ3laUUdGbWR1VFJTdz09
Meeting ID: 966 0803 3618
Password: 564068
Host: Dr. Rita Schmidt rita.schmidt@weizmann.ac.il tel: 9070
Cortical Layer 1 – The Memory Layer?
Lecture
Tuesday, March 16, 2021
Hour: 12:30
Location:
Cortical Layer 1 – The Memory Layer?
Dr. Guy Doron
Humboldt University of Berlin
Neurocure Cluster of Excellence, Berlin
The hippocampus and related medial temporal lobe structures (entorhinal cortex, perirhinal cortex, etc.) play a vital role in transforming experience into long-term memories that are then stored in the cortex, however the cellular mechanisms which designate single neurons to be part of a memory trace remain unknown. Part of the difficulty in addressing the mechanisms of transformation of short-term to long-term memories is the distributed nature of the resulting “engram” at synapses throughout the cortex. We therefore used a behavioral paradigm dependent on both the hippocampus and neocortex that enabled us to generate memory traces rapidly and reliably in a specific cortical location, by training rodents to associate the direct electrical microstimulation of the primary sensory neocortex with a reward. We found that medial-temporal input to neocortical Layer 1 (L1) gated the emergence of specific firing responses in subpopulations of Layer 5 pyramidal neurons marked by increased burstiness related to apical dendritic activity. Following learning and during memory retrieval, these neocortical responses became independent of the medial-temporal influence but continued to evoke behaviour with single bursts sufficient to elicit a correct response. These findings suggest that L1 is the locus for hippocampal-dependent associative learning in the neocortex, where memory engrams are established in subsets of pyramidal neurons by enhancing the sensitivity of tuft dendrites to contextual inputs and driving burst firing.
Zoom link to join- https://weizmann.zoom.us/j/96608033618?pwd=SEdJUkR2ZzRBZ3laUUdGbWR1VFJTdz09
Meeting ID: 966 0803 3618
Password: 564068
Host: Dr. Rita Schmidt rita.schmidt@weizmann.ac.il tel: 9070
Pages
All years
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