All events, All years

Clustering of dendritic activity during decision making

Lecture
Date:
Tuesday, June 13, 2017
Hour: 12:30
Location:
Gerhard M.J. Schmidt Lecture Hall
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
Date:
Thursday, June 8, 2017
Hour: 12:30
Location:
Gerhard M.J. Schmidt Lecture Hall
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
Date:
Tuesday, June 6, 2017
Hour: 12:30
Location:
Gerhard M.J. Schmidt Lecture Hall
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
Date:
Wednesday, May 24, 2017
Hour: 16:00
Location:
Gerhard M.J. Schmidt Lecture Hall
Prof. Yael Niv
|
Princeton Neuroscience Institute and Psychology Dept Princeton University

Image recurrence across saccades is encoded in the retina

Lecture
Date:
Tuesday, May 16, 2017
Hour: 12:30
Location:
Gerhard M.J. Schmidt Lecture Hall
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
Date:
Tuesday, May 9, 2017
Hour: 12:30
Location:
Gerhard M.J. Schmidt Lecture Hall
Prof. Adi Mizrahi
|
Edmond and Lily Safra Center for Brain Sciences Hebrew University of Jerusalem

A Grid in the Brain

Lecture
Date:
Monday, May 8, 2017
Hour: 10:00
Location:
Nella and Leon Benoziyo Building for Brain Research
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
Date:
Tuesday, April 25, 2017
Hour: 14:00
Location:
Nella and Leon Benoziyo Building for Brain Research
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
Date:
Monday, April 3, 2017
Hour: 15:00
Location:
Gerhard M.J. Schmidt Lecture Hall
Ecole Normale Supérieure (ENS), Paris

Spike based coding and computation

Lecture
Date:
Sunday, April 2, 2017
Hour: 14:30
Location:
Gerhard M.J. Schmidt Lecture Hall
Ecole Normale Supérieure (ENS), Paris

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All events, All years

Genetic TRAPing of Cortical Plasticity

Lecture
Date:
Tuesday, May 9, 2017
Hour: 12:30
Location:
Gerhard M.J. Schmidt Lecture Hall
Prof. Adi Mizrahi
|
Edmond and Lily Safra Center for Brain Sciences Hebrew University of Jerusalem

A Grid in the Brain

Lecture
Date:
Monday, May 8, 2017
Hour: 10:00
Location:
Nella and Leon Benoziyo Building for Brain Research
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
Date:
Tuesday, April 25, 2017
Hour: 14:00
Location:
Nella and Leon Benoziyo Building for Brain Research
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
Date:
Monday, April 3, 2017
Hour: 15:00
Location:
Gerhard M.J. Schmidt Lecture Hall
Ecole Normale Supérieure (ENS), Paris

Spike based coding and computation

Lecture
Date:
Sunday, April 2, 2017
Hour: 14:30
Location:
Gerhard M.J. Schmidt Lecture Hall
Ecole Normale Supérieure (ENS), Paris

Could life-long memory be encoded in the pattern of holes in the Perineuronal net?

Lecture
Date:
Tuesday, March 28, 2017
Hour: 12:30
Location:
Gerhard M.J. Schmidt Lecture Hall
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
Date:
Thursday, March 23, 2017
Hour: 14:30
Location:
Nella and Leon Benoziyo Building for Brain Research
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.

Chemical love – The molecular neuroetholgy of pheromonal communication

Lecture
Date:
Tuesday, March 21, 2017
Hour: 12:30
Location:
Gerhard M.J. Schmidt Lecture Hall
Prof. Yehuda Ben-Shahar
|
Washington University School of Medicine Washington University

Research in the Ben-Shahar lab at Washington University in St. Louis is focused on several integrative projects at the interface of evolution, genetics, and neuroethology. Specifically, research in the lab follows two major themes: 1) The genetic and neuronal processes that regulate the interactions between individual animals and their social environment, including the evolution and signaling mechanisms associated with pheromonal communication in insects, and the neuronal circuits that drive pheromone-induced behaviors; 2) the molecular evolution and genetics of the neuronal stress response, with a specific focus on mechanistic tradeoffs between neuronal robustness and cognition.

Spatiotemporal patterning in motor cortex during movement initiation

Lecture
Date:
Thursday, March 16, 2017
Hour: 12:30
Location:
Gerhard M.J. Schmidt Lecture Hall
Prof. Nicholas Hatsopoulos
|
University of Chicago Dept of Organismal Biology and Anatomy Chair, Committee on Computational Neuroscience Committee on Neurobiology

Voluntary movement initiation involves the modulation of large populations of motor cortical (M1) neurons around movement onset. Despite knowledge of the temporal dynamics of cortical ensembles that lead to movement, the spatial structure of these dynamics across the cortical sheet are poorly understood. Here, we show that the timing in attenuation of the beta frequency oscillation amplitude, a neural correlate of corticospinal excitability, forms a spatial gradient across M1 prior to movement onset with a defined beta attenuation orientation (BAO) from earlier to later attenuation times. We show that a similar propagating pattern is evident in the modulation times of populations of M1 neurons. Using various spatiotemporal patterns of intracortical microstimulation, we find that movement initiation is significantly slowed when stimulation is delivered against the BAO suggesting that movement initiation requires a precise spatio-temporal recruitment pattern in M1.

Exploration of human creative search and diversity

Lecture
Date:
Tuesday, March 14, 2017
Hour: 12:30
Location:
Gerhard M.J. Schmidt Lecture Hall
Prof. Uri Alon
|
Dept of Molecular Cell Biology, WIS

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