All events, All years

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

Motor abundance, compensation and adaptability for upper limb movements after stroke

Lecture
Date:
Sunday, March 12, 2017
Hour: 11:00
Location:
Gerhard M.J. Schmidt Lecture Hall
Prof. Mindy F. Levin
|
School of Physical and Occupational Therapy McGill University, Montreal, Canada

Following a stroke or damage to the central nervous system, deficits in motor planning and execution may ensue, leading to a reduced capacity to use the affected upper limb to meaningfully interact with objects in the environment. A framework of disordered motor control based on reduced threshold control will be presented and considered together with cognitive and perceptual deficits underlying movement deficits.

Parametric control of actions and its feed-forward nature

Lecture
Date:
Thursday, March 9, 2017
Hour: 12:30
Location:
Gerhard M.J. Schmidt Lecture Hall
Prof. Anatol G. Feldman
|
Dept of Neuroscience, University of Montreal and The Centre for Interdisciplinary Research in Rehabilitation, Montreal

The activity of different descending systems can be de-correlated from kinematic and kinetic variables describing the motor outcome to reveal that these systems are responsible for parametric shifts in balance in the interaction between the organism and environment. Such shifts also pre-determine the origin (referent) points of spatial frames reference in which actions are produced. Parametric (referent) control can be identified at any level of action production, from the level of a single motorneuron to the level involving motoneurons of multiple muscles of the body.

MIF as a therapeutic candidate for amyotrophic lateral sclerosis

Lecture
Date:
Tuesday, March 7, 2017
Hour: 12:30
Location:
Gerhard M.J. Schmidt Lecture Hall
Prof. Adrian Israelson
|
Dept of Physiology and Cell Biology Ben-Gurion University of the Negev, Be'er-Sheva

Cortical spike multiplexing using gamma frequency latencies

Lecture
Date:
Thursday, March 2, 2017
Hour: 12:45
Location:
Gerhard M.J. Schmidt Lecture Hall
Prof. Dana H. Ballard
|
Dept of Computer Sciences, University of Texas at Austin

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All events, All years

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

Motor abundance, compensation and adaptability for upper limb movements after stroke

Lecture
Date:
Sunday, March 12, 2017
Hour: 11:00
Location:
Gerhard M.J. Schmidt Lecture Hall
Prof. Mindy F. Levin
|
School of Physical and Occupational Therapy McGill University, Montreal, Canada

Following a stroke or damage to the central nervous system, deficits in motor planning and execution may ensue, leading to a reduced capacity to use the affected upper limb to meaningfully interact with objects in the environment. A framework of disordered motor control based on reduced threshold control will be presented and considered together with cognitive and perceptual deficits underlying movement deficits.

Parametric control of actions and its feed-forward nature

Lecture
Date:
Thursday, March 9, 2017
Hour: 12:30
Location:
Gerhard M.J. Schmidt Lecture Hall
Prof. Anatol G. Feldman
|
Dept of Neuroscience, University of Montreal and The Centre for Interdisciplinary Research in Rehabilitation, Montreal

The activity of different descending systems can be de-correlated from kinematic and kinetic variables describing the motor outcome to reveal that these systems are responsible for parametric shifts in balance in the interaction between the organism and environment. Such shifts also pre-determine the origin (referent) points of spatial frames reference in which actions are produced. Parametric (referent) control can be identified at any level of action production, from the level of a single motorneuron to the level involving motoneurons of multiple muscles of the body.

MIF as a therapeutic candidate for amyotrophic lateral sclerosis

Lecture
Date:
Tuesday, March 7, 2017
Hour: 12:30
Location:
Gerhard M.J. Schmidt Lecture Hall
Prof. Adrian Israelson
|
Dept of Physiology and Cell Biology Ben-Gurion University of the Negev, Be'er-Sheva

Cortical spike multiplexing using gamma frequency latencies

Lecture
Date:
Thursday, March 2, 2017
Hour: 12:45
Location:
Gerhard M.J. Schmidt Lecture Hall
Prof. Dana H. Ballard
|
Dept of Computer Sciences, University of Texas at Austin

Neuronal ensembles: emergent motifs of cortical function?

Lecture
Date:
Thursday, March 2, 2017
Hour: 11:30
Location:
Gerhard M.J. Schmidt Lecture Hall
Prof. Rafael Yuste
|
Dept of Biological Sciences, Columbia University, NY

Oxytocin for autism? Insights from genetic mouse models

Lecture
Date:
Thursday, February 23, 2017
Hour: 12:30
Location:
Gerhard M.J. Schmidt Lecture Hall
Prof. Olga Penagarikano
|
Dept of Pharmacology, School of Medicine University of the Basque Country, Leioa, Spain

Autism Spectrum Disorder is a heterogeneous condition characterized by deficits in social interactions and repetitive behaviors/restricted interests. Mouse models based on human disease-causing mutations provide the potential for understanding associated neuropathology and developing targeted treatments. Genetic, neurobiological and imaging data provide convergent evidence for the CNTNAP2 gene as a risk factor for autism and other developmental disorders. First, I will present data from my postdoctoral work demonstrating construct, face and predictive validity of a mouse knockout for the Cntnap2 gene, providing a tool for mechanistic and therapeutic research. In fact, through an in vivo drug screen in this model we found that administration of the neuropeptide oxytocin dramatically improves social deficits. Strikingly, reduced neuropeptide levels in this model seemed to account for the behavioral response. Last, I will present ongoing work in my lab evaluating the oxytocin system and related neurotransmitters in this model. Alterations in the oxytocin system and/or dysfunction in its related biological processes could potentially be more common in autism than previously anticipated.

A Circuits First Approach to Mental Illness

Lecture
Date:
Tuesday, February 21, 2017
Hour: 12:30
Location:
Gerhard M.J. Schmidt Lecture Hall
Prof. Amit Etkin
|
Dept of Psychiatry and Behavioral Sciences Stanford Neurosciences Institute, Stanford University and Investigator, Sierra-Pacific MIRECC, Palo Alto VA

The interplay between learning systems and their impact on long-term declarative memory

Lecture
Date:
Tuesday, February 14, 2017
Hour: 12:30
Location:
Gerhard M.J. Schmidt Lecture Hall
Dr. Avi Mendelsohn
|
Dept of Neurobiology, Faculty of Life Sciences, University of Haifa

Nonlinear coherences among multiple time-series:Use of MRI data to identify brain temporal organization and directionality of information flow

Lecture
Date:
Thursday, February 9, 2017
Hour: 12:30
Location:
Gerhard M.J. Schmidt Lecture Hall
Prof. Gadi Goelman
|
Human Biology Research Center, Dept of Nuclear Medicine, Hadassah Medical Center, Jerusalem

Coherences and time-lags are commonly used to infer directionality of information flow in electrophysiology EEG, MEG and MRI. Current approaches, however, enable to calculate only pairwise (linear) coherences. I will describe a novel high-order statistical framework to calculate coherences among multiple coupled time-series. The full mathematical expressions for 4 time-series will be described and its validity will be demonstrated by computer simulations of the Kuramoto model. Quartets of time-series (i.e. brain regions) will be defined as linear, nonlinear or of higher (>4) order. By this, whole systems (e.g. motor, visual) will be categorized as linear or nonlinear. Based on the assumption that MRI phase delays are associated with time of information flow, the temporal hierarchy and directionality of several brain systems will be described. To fully categorize the information flow within 4th order networks, I will introduce the concept of Motifs that describes the pathway trajectories within networks. The advantages of motifs in brain research will be demonstrated by comparing motifs of the ventral versus the dorsal streams systems and in males versus females.

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