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Simple integration of asymmetric inputs computes directional selectivity in Drosophila
Lecture
Tuesday, July 11, 2017
Hour: 12:30
Location:
Nella and Leon Benoziyo Building for Brain Research
Simple integration of asymmetric inputs computes directional selectivity in Drosophila
Eyal Gruntman
Postdoc, Reiser Lab, HHMI, Janelia Research Campus
The detection of visual motion is a fundamental neuronal computation that serves many critical behavioral roles, such as encoding of self-motion or figure-ground discrimination. For a neuron to extract directionally selective (DS) motion information from inputs that are not motion selective it is essential to integrate across multiple spatially distinct inputs. This integration step has been studied for decades in both vertebrate and invertebrate visual systems and given rise to several competing computational models. Recent studies in Drosophila have identified the 4th-order neurons, T4 and T5, as the first neurons to show directional selectivity. Due to the small size of these neurons, recordings have been restricted to the use of calcium imaging, limiting timescale and direct measurement of inhibition. These limitations may prevent a clear demonstration of the neuronal computation underlying DS, since it may depend on millisecond-timescale interactions and the integration of excitatory and inhibitory signals. In this study, we use whole cell in-vivo recordings and customized visual stimuli to examine the emergence of DS in T4 cells. We record responses both to a moving bar stimulus and to its components: single position bar flashes. Our results show that T4 cells receive both excitatory and inhibitory inputs, as predicted by a classic circuit model for motion detection. Furthermore, we show that by implementing a passive compartment model of a T4 cell, we can account not only for the DS response of the cell, but also for its dynamics.
Neural Representations of Natural Self Motion: Implications for Perception & Action
Lecture
Monday, July 3, 2017
Hour: 12:30
Location:
Gerhard M.J. Schmidt Lecture Hall
Neural Representations of Natural Self Motion: Implications for Perception & Action
Prof. Kathleen Cullen
Dept of Biomedical Engineering,
Johns Hopkins University
The vestibular system detects self-motion and in turn generates reflexes that are crucial for our daily activities, such as stabilizing the visual axis (gaze) and maintaining head and body posture. In addition, the vestibular system provides us with our subjective sense of movement and orientation in space. The loss vestibular function due to aging, injury, or disease produces dizziness, postural imbalance, and an increased risk of falls – all symptoms that profoundly impair quality of life.
In this talk, I will describe how the brain processes vestibular information in natural conditions. Notably, our work has established how early stages of processing encode vestibular stimuli and integrate them with extra-vestibular cues – for example proprioceptive and premotor information to ensure accurate perception and behaviour. Our experiments have revealed that while vestibular afferents respond identically to externally-generated and actively-generated self-motion, this is not the case at first central stage of sensory processing. Neurons mediating the vestibulo-spinal reflexes, as well as ascending thalamocortical pathways, are robustly activated during externally-generated motion, however their sensory response are cancelled during actively-generated movements. Our work has further revealed that this cancellation of actively-generated vestibular input occurs only in conditions where the actual sensory signal matches the brain’s internal estimate of the expected sensory consequences of active movement. Moreover, when unexpected vestibular inputs becomes persistent during voluntary motion, a cerebellar-based cancellation mechanism is rapidly updated to re-enable the vital distinction between self-generated and externally-applied stimulation to ensure the maintenance of posture and stable perception. In contrast, vestibular pathways mediating the vestibulo-ocular reflex, employ a different strategy. In this pathway, head velocity is robustly encoded whenever the goal is to stabilize gaze, but when the goal is to voluntarily redirect gaze an efferent copy of the gaze command suppresses the efficacy of this reflex pathway. Taken together, these findings have important implications for understanding the neural basis of perception and action during self-motion.
Astrocytes generate de-novo neuronal potentiation and memory enhancement
Lecture
Tuesday, June 20, 2017
Hour: 12:30
Location:
Gerhard M.J. Schmidt Lecture Hall
Astrocytes generate de-novo neuronal potentiation and memory enhancement
Dr. Inbal Goshen
Edmond and Lily Safra Center for Brain Sciences
Hebrew University of Jerusalem
Clustering of dendritic activity during decision making
Lecture
Tuesday, June 13, 2017
Hour: 12:30
Location:
Gerhard M.J. Schmidt Lecture Hall
Clustering of dendritic activity during decision making
Dr. Boaz Mohar
Postdoctoral Associate, Karel Svoboda Lab, Janelia Research Campus, HHMI
Neighboring neurons in motor cortex exhibit diverse selectivity during sensation, movement preparation, and movement execution. Neuronal selectivity could emerge from diverse mechanisms, including selective connectivity and nonlinear interactions of synaptic inputs in dendrites. We studied dendritic integration in the anterior motor cortex of mice performing a tactile discrimination task with a delayed response (Guo and Li et al., 2014). We constructed a two-photon microscope that allows rapid (~15 Hz) imaging of up to 300 µm of contiguous dendrite while resolving calcium transients in individual dendritic spines. Two galvanometers and a remote focusing mirror (Botcherby et al., 2008) steer 16 kHz lines (24 µm extent) produced by a resonant mirror arbitrarily in three dimensions. Pyramidal neurons were labeled sparsely with GCaMP6f in transgenic mice. We imaged spine and dendritic calcium transients, as well as somatic calcium transients associated with action potentials. We developed methods to computationally remove the influence of backpropagating action potentials (bAPs), which allowed us to quantify the selectivity of spines and dendritic segments during sensation, movement preparation, and movement execution. Nearby spines and dendritic segments share similar selectivity (length constant of signal correlation, ~30 µm). This clustering was more often seen in distal than in proximal dendrites. Using a measure of local autocorrelation, we also found that this reflects distinct “hotspot” locations on the dendrite where nearby dendrite and spines are co-active in time. Hotspot selectivity was correlated with the behavioral selectivity of somatic spikes, suggesting that these locations may have privileged influence over the output of the cell.
Behavioral and neural bases of social decision-making in non-human primates
Lecture
Thursday, June 8, 2017
Hour: 12:30
Location:
Gerhard M.J. Schmidt Lecture Hall
Behavioral and neural bases of social decision-making in non-human primates
Prof. Jean-Rene Duhamel
Institut des Sciences Cognitives Marc Jeannerod CNRS/
Universite Claude Bernard Lyon
Primates live in environments characterized by continuous, complex cycles of social interactions, where the actions of any group member necessarily influences those of the other members. This raises the question of the extent to which adaptive behavior in social encounters involves specialized mechanisms to represent others’ intentions and affective states. In my talk, I will explore this topic at the behavioral level - asking whether monkeys take into account the welfare of their conspecific when making decisions- and at the brain level - asking what type of information about a social partner is encoded by single neurons in the amygdala and anterior insula. I will try yo argue that these two structures carry neuronal mechanisms for empathy and perspective taking.
Presynaptic dysfunction in Fragile X syndrome
Lecture
Tuesday, June 6, 2017
Hour: 12:30
Location:
Gerhard M.J. Schmidt Lecture Hall
Presynaptic dysfunction in Fragile X syndrome
Prof. Vitaly Klyachko
Dept of Biomedical Engineering, Dept of Cell Biology and Physiology
Washington University School of Medicine
I will discuss our efforts towards understanding synaptic and circuit dysfunction in Fragile X syndrome, the most common heritable cause of intellectual disability and the leading genetic cause of autism. I will describe our studies identifying major presynaptic defects in excitability and neurotransmitter release in Fragile X and the role of ion channel dysregulation in these deficits. Finally, I will present evidence for a direct link between presynaptic dysregulation and specific Fragile X phenotypes in a patient.
Orbitofrontal-hippocampal interactions in decision making
Lecture
Wednesday, May 24, 2017
Hour: 16:00
Location:
Gerhard M.J. Schmidt Lecture Hall
Orbitofrontal-hippocampal interactions in decision making
Prof. Yael Niv
Princeton Neuroscience Institute and Psychology Dept
Princeton University
Image recurrence across saccades is encoded in the retina
Lecture
Tuesday, May 16, 2017
Hour: 12:30
Location:
Gerhard M.J. Schmidt Lecture Hall
Image recurrence across saccades is encoded in the retina
Dr. Vidhyasankar Krishnamoorthy
University of Gottingen
The neural network of the retina processes the stream of visual signals falling onto the eye. When a visual image is presented to the retina, retinal ganglion cells, which form the output of this network, encode changes in local visual contrast inside their receptive fields. In natural vision, however, images do not arrive in isolation, but are structured in rapid sequences, separated by frequent saccades, which activate some types of ganglion cells and suppress others. Yet, little is known about how the rapid succession of images induced by saccades affects the encoding of spatial visual information. We found that a specific type of retinal ganglion cells, recorded in mouse retina, displays unexpected responses to saccade-like image transitions; the cells elicit a distinct spike burst when the same visual pattern reappears after the transition, providing a special code for such transitions or image parts that lead to a recurrence of stimulus patterns. This sensitivity to image recurrence is mediated by a circuit of serial inhibition, allowing a rapid reappearance of the image to suppress transition-induced inhibition of the ganglion cell. Our results show that saccade-like image transitions trigger interactions in the complex inhibitory network of the retina that lead to a dynamical gating of the information flow through the retina and provide a mode of operation that differs from the processing of simple, standard laboratory stimuli.
Genetic TRAPing of Cortical Plasticity
Lecture
Tuesday, May 9, 2017
Hour: 12:30
Location:
Gerhard M.J. Schmidt Lecture Hall
Genetic TRAPing of Cortical Plasticity
Prof. Adi Mizrahi
Edmond and Lily Safra Center for Brain Sciences
Hebrew University of Jerusalem
A Grid in the Brain
Lecture
Monday, May 8, 2017
Hour: 10:00
Location:
Nella and Leon Benoziyo Building for Brain Research
A Grid in the Brain
Dr. Saikat Ray
Postdoc, Bernstein Center for Computational Neuroscience
Humboldt University Berlin
The analysis of spatial cells in the hippocampus and the medial entorhinal cortex has been a remarkable success story. Extracellular recordings have revealed astonishing functional abstractness in how single neurons encode concepts such as a place, direction, borders and grids. Though we know a great deal about these functional phenotypes of neuronal activation, information about their underlying microcircuits is sorely lacking. In this talk I will explore the structural underpinnings of this functional specificity in the superficial layers of the medial entorhinal cortex and what the components and architecture of the microcircuits involved in this reveal across evolution and development.
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Presynaptic dysfunction in Fragile X syndrome
Lecture
Tuesday, June 6, 2017
Hour: 12:30
Location:
Gerhard M.J. Schmidt Lecture Hall
Presynaptic dysfunction in Fragile X syndrome
Prof. Vitaly Klyachko
Dept of Biomedical Engineering, Dept of Cell Biology and Physiology
Washington University School of Medicine
I will discuss our efforts towards understanding synaptic and circuit dysfunction in Fragile X syndrome, the most common heritable cause of intellectual disability and the leading genetic cause of autism. I will describe our studies identifying major presynaptic defects in excitability and neurotransmitter release in Fragile X and the role of ion channel dysregulation in these deficits. Finally, I will present evidence for a direct link between presynaptic dysregulation and specific Fragile X phenotypes in a patient.
Orbitofrontal-hippocampal interactions in decision making
Lecture
Wednesday, May 24, 2017
Hour: 16:00
Location:
Gerhard M.J. Schmidt Lecture Hall
Orbitofrontal-hippocampal interactions in decision making
Prof. Yael Niv
Princeton Neuroscience Institute and Psychology Dept
Princeton University
Image recurrence across saccades is encoded in the retina
Lecture
Tuesday, May 16, 2017
Hour: 12:30
Location:
Gerhard M.J. Schmidt Lecture Hall
Image recurrence across saccades is encoded in the retina
Dr. Vidhyasankar Krishnamoorthy
University of Gottingen
The neural network of the retina processes the stream of visual signals falling onto the eye. When a visual image is presented to the retina, retinal ganglion cells, which form the output of this network, encode changes in local visual contrast inside their receptive fields. In natural vision, however, images do not arrive in isolation, but are structured in rapid sequences, separated by frequent saccades, which activate some types of ganglion cells and suppress others. Yet, little is known about how the rapid succession of images induced by saccades affects the encoding of spatial visual information. We found that a specific type of retinal ganglion cells, recorded in mouse retina, displays unexpected responses to saccade-like image transitions; the cells elicit a distinct spike burst when the same visual pattern reappears after the transition, providing a special code for such transitions or image parts that lead to a recurrence of stimulus patterns. This sensitivity to image recurrence is mediated by a circuit of serial inhibition, allowing a rapid reappearance of the image to suppress transition-induced inhibition of the ganglion cell. Our results show that saccade-like image transitions trigger interactions in the complex inhibitory network of the retina that lead to a dynamical gating of the information flow through the retina and provide a mode of operation that differs from the processing of simple, standard laboratory stimuli.
Genetic TRAPing of Cortical Plasticity
Lecture
Tuesday, May 9, 2017
Hour: 12:30
Location:
Gerhard M.J. Schmidt Lecture Hall
Genetic TRAPing of Cortical Plasticity
Prof. Adi Mizrahi
Edmond and Lily Safra Center for Brain Sciences
Hebrew University of Jerusalem
A Grid in the Brain
Lecture
Monday, May 8, 2017
Hour: 10:00
Location:
Nella and Leon Benoziyo Building for Brain Research
A Grid in the Brain
Dr. Saikat Ray
Postdoc, Bernstein Center for Computational Neuroscience
Humboldt University Berlin
The analysis of spatial cells in the hippocampus and the medial entorhinal cortex has been a remarkable success story. Extracellular recordings have revealed astonishing functional abstractness in how single neurons encode concepts such as a place, direction, borders and grids. Though we know a great deal about these functional phenotypes of neuronal activation, information about their underlying microcircuits is sorely lacking. In this talk I will explore the structural underpinnings of this functional specificity in the superficial layers of the medial entorhinal cortex and what the components and architecture of the microcircuits involved in this reveal across evolution and development.
Bonsai trees in your head: The powerful influence of reflexive processes on goal-directed decision making
Lecture
Tuesday, April 25, 2017
Hour: 14:00
Location:
Nella and Leon Benoziyo Building for Brain Research
Bonsai trees in your head: The powerful influence of reflexive processes on goal-directed decision making
Prof. Jonathan Roiser
UCL Institute of Cognitive Neuroscience
Making decisions in the real world is challenging because choices made now influence what options will be available in the future. As the number of steps in a sequence of choices increases, the potential number of paths through a decision tree increases exponentially. How are we able to make good decisions in the face of such overwhelming complexity? One idea is that the brain uses shortcuts, or heuristics, to reduce computational demands. I will present evidence for the existence of a novel heuristic, "pruning", which entails avoiding even considering entire branches of a decision tree that begin with a large negative outcome, regardless of subsequent outcomes. We found that decision making was profoundly impaired when the optimal choice entailed initially accepting a large negative outcome (Huys et al 2012 PLoS Computational Biology 8(3):e1002410); and computational modelling showed that this bias could not be explained by other influences such as poor planning or loss aversion. A subsequent neuroimaging study, using a computational approach to assess pruning on a trial-by-trial basis, confirmed this behavioural effect, and suggested that pruning behaviour is driven by activity in brain regions implicated in emotional processing; in particular the subgenual cingulate cortex which plays a critical role in depression. These results will be discussed with reference to a contemporary theoretical framework that relates Pavlovian behavioural inhibition to serotonin and depressive symptoms.
Circular inference and excitatory/inhibitory balance: application to bistable perception and schizophrenia
Lecture
Monday, April 3, 2017
Hour: 15:00
Location:
Gerhard M.J. Schmidt Lecture Hall
Circular inference and excitatory/inhibitory balance: application to bistable perception and schizophrenia
Ecole Normale Supérieure (ENS), Paris
Spike based coding and computation
Lecture
Sunday, April 2, 2017
Hour: 14:30
Location:
Gerhard M.J. Schmidt Lecture Hall
Spike based coding and computation
Ecole Normale Supérieure (ENS), Paris
Could life-long memory be encoded in the pattern of holes in the Perineuronal net?
Lecture
Tuesday, March 28, 2017
Hour: 12:30
Location:
Gerhard M.J. Schmidt Lecture Hall
Could life-long memory be encoded in the pattern of holes in the Perineuronal net?
Dr. Varda Lev-Ram
Dept. of Pharmacology, School of Medicine, UCSD, La Jolla, CA
Abstract: The PNN is a specialized form of extracellular matrix, initially deposited around selected neurons during critical periods of development in specific parts of the brain, interrupted by holes where synapses occur. We postulate that the PNN comprises a longer-lived structural template and that new memories are created by cutting new holes in the PNN or by expanding existing holes to enable formation of new synapses or to strengthen existing ones. A basic premise of this hypothesis is that the PNN, should undergo very low metabolic renewal from the first age at which memories are retained until senescence, whereas the active constituents of synapses turn over much more frequently and would therefore be poorer substrates for permanent information storage, unless they are equipped with incredibly accurate copying mechanisms (R.Y.Tsien PNAS 2013). Experimental tests of the hypothesis:
1.PNN longevity; using 15N Spirulina diet for Stable Isotope Labeling in Mammals (SILAM) we compare the lifetimes of PNN proteins vs. synaptic components in Enriched Environment (EE) vs. Conventional Cages (CC), ending the pulse-chase by changing to 14N diet at P45. Analysis by Multidimensional Protein Identification Technology (MudPIT) of four different brain areas indicate:
a. Low turnover rate for PNN proteins while synaptic proteins were at the noise level of 15N /14N ratio.
b. Higher turnover of PNN proteins in EE vs. CC cages
c.Variability in the retention of 15N in PNN proteins between brain areas.
2.Localization of the long-lasting proteins; Imaging of 15N /14N ratio using Nanoscale secondary ion mass spectrometry (nanoSIMS) localized and verified the MudPit finding that PNN turnover is very slow.
3. Spatial occupation of the PNN holes; 2 dimension electron microscopy (EM) and 3D volumes of Serial Block Face Scanning EM reveal that neurons engulfed in PNN have more than 95% of their plasma membrane surface occupied by PNN or synapses.
4. Inhibition of PNN holes modulation during strong memories acquisition; we examined the role and timing of matrix metalloproteinases (MMP) activity in memory consolidation using pharmacological inhibitors in a fear-conditioning paradigm. Our results demonstrate that MMP inhibition during fear induction:
a. Does not affect acquisition
b. Significantly impairs long-term memory (30 days)
c. Is dose dependent
d. That memory impairment increases with time.
So far the hypothesis is supported by the results of the above tests.
Local motion signals: statistics, responses and generative models
Lecture
Thursday, March 23, 2017
Hour: 14:30
Location:
Nella and Leon Benoziyo Building for Brain Research
Local motion signals: statistics, responses and generative models
Dr. Eyal Nitzany
Dept of Physics and Astronomy, Northwestern University and
Dept of Organismal Biology and Anatomy, University of Chicago
Many visual tasks, such as separation of figures from ground and navigation, benefit from the extraction and the usage of local motion signals. Yet, there are many ways in which local motion signals are being represented (mostly based on mathematical and computational considerations). I’ll begin this talk by presenting a computational work that explored whether specific kinds of local motion signals occur in the natural world (Nitzany&Victor, 2014, Journal of Vision).
Next, I will present the results of a neurophysiological experiment where we recorded from the main visual brain areas of two visually accomplished, but very different, animals—macaque monkeys and dragonflies. We found similar responses to local motion signals across species, which may serve as neurophysiologic evidence that mammalian visual cortex and the visual centers of the dragonfly brain process motion using similar algorithms and may have converged on a common computational scheme for detecting visual motion.
Finally, I’ll present our current work, which extends and manipulates a few machine learning techniques to generate novel stimuli, where specific characteristics, with regards to local motion signals, are being preserved.
If time permits, I will discuss another line of work (Menda et. al., 2014, Current Biology, Shamble et. al., 2016, Current Biology), where we were able to record from neurons of jumping spiders. I will explain our approach that enables us to record from those tiny marvelous creatures and review our main findings with regards to visual and auditory cues.
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