Computational Neuroscience Seminars 16/17

Upcoming Events

 

Wednesday October 10 
Location: SV 1717

Time: 12:15

 

 

BMI Seminar: Sandro Romani (homepage)

Janelia Research Campus

 

Title:

Learning and memory in hippocampus and cortex, a tale of two theories

Abstract

Learning is thought to be mediated by changes of synaptic weights. Many physiology-based theories posit that synaptic modifications are induced by repeated and almost coincident spiking of pre- and post-synaptic neurons. At the level of behavior, learning can occur without repetitions and can link events that are separated in time by seconds. The hippocampus has been implicated in these forms of learning. Analysis and modeling of in-vivo recordings from region CA1 of rodents hippocampus, validated with in-vitro manipulations, reveal a novel learning rule: pre-synaptic spiking and post-synaptic complex spiking can be separated by a time-scale of seconds while still inducing potent (one-shot) changes in synaptic weights. This novel plasticity rule offers an immediate connection between behavior and synaptic changes in the hippocampus.
Cortex on the other hand is thought to learn by slowly shaping circuit dynamics to subserve complex behaviors. For instance, certain behaviors require short-term memory, the ability to maintain information in memory, in the absence of cues, for a time scale of seconds. The classic neural correlate of short-term memory is persistent selective activity, elevated neuronal firing that persists during memory maintenance, shows large and systematic ramping, and depends on the particular item kept in memory. Several hypotheses have been proposed to explain how neural circuits can support short-term memory. We use theory-driven optogenetic perturbations of pre-motor cortex in rodents performing a delayed binary response task. Circuit dynamics following recovery from perturbations reveal the presence of discrete attractors. We further devise a task structure to eliminate ramping activity, obtaining stationary activity patterns as observed in standard attractor network models.


Wednesday October 31 
Location: SV 1717Time: 10:30
Danilo Jimenez Rezende (homepage)

Google Deepmind

 

Title:

Probabilistic Deep Learning:
Foundations, applications and open problems.

Abstract
Advances in deep generative models are at the forefront of deep learning research because of the promise they offer for allowing data-efficient learning, and for model-based reinforcement learning. In this talk I’ll review the foundations of probabilistic reasoning and generative modeling. I will then introduce modern approximations which allow for efficient large-scale training of a wide variety of generative models, demonstrate a few applications of these models to density estimation, missing data imputation, data compression and planning. Finally, I will discuss some of the open problems in the field.


Thursday, December 6th: Swiss Computational Neuroscience Seminars
Location: University of Zurich, Irchel Campus  
Time: TBA Bence Ölveczky (homepage)

Harvard University

Title:

TBA

Abstract

TBA

Ilya Nemenman (homepage)

Emory University

Title:

TBA

Abstract

TBA

Click here for a complete list of all future and past Swiss Computational Neuroscience seminars


2017 Past Events

Wednesday  4th of July
Location: AAC 114Time: 10:30
Maurizio Mattia (homepage)

Complex Systems Section

Istituto Superiore di Sanità

Title:

Heterogeneous dynamics of cortical assemblies: evidence and advantages

Abstract

The computational power of neuronal networks relies on the richness of the dynamical repertoire they are capable to express. This complexity can be effectively captured by suited dynamical mean-field theories for the pooled spiking activity of neuronal assemblies. Here, I will briefly summarize how an effective low-
dimensional nonlinear dynamics of cortical assemblies can be worked out. This framework will be then used to describe the alternation between high-firing (Up) and almost quiescent (Down) states observed in the intact brain during slow-wave sleep and deep anaesthesia. The footprints of such nonlinear dynamics will be shown in experiments where the activity of a whole cortical column is recorded and hysteresis loops with heterogeneous size arise in layer 5 as response to the input received from layer 6. This evidence of heterogeneous excitability will be finally shown to exist also in the prefrontal cortex of non-human primates performing a goal-to-action transformation task, thus implementing simultaneously both
dynamical stability and input susceptibility.


Wednesday  27th of June
Location: SV 2 510Time: 10:30
Simon Weber (homepage)

Institute of Software Engineering and Theoretical Computer Science

Technische Universität Berlin

Title:

Learning place cells, grid cells and invariances with excitatory and inhibitory plasticity.

Abstract


Thursday  14th of June
Location: AAC 120Time: 14:00
Rui Ponte Costa (homepage)

Department of Physiology

University of Bern

Title:

Learning probabilistic synapses: where and when

Abstract


Tuesday  12th of June
Location: AAC 120Time: 10:30
Christian Tetzlaff (homepage)

Bernstein Center for Computational Neuroscience – Goettingen

Title:

The formation and organization of memory representations in adaptive, self-organized neural networks

Abstract


Monday February 5th 
Location: AAC 120Time: 10:30
Jean-Pascal Pfister (homepage)

Institute of Neuroinformatics
University of Zurich and ETH Zurich

Title:

Neural Particle Filter

Abstract


Wednesday January 31st 
Location:AAC 014Time: 10:00
Ljerka Ostojic (homepage)

Department of Psychology,

University of Cambridge, UK

Title:

Social Cognition in Corvids: Lessons from Eurasian jay caching and food-sharing behaviours

Abstract

Wednesday January 24th 
Location:TBDTime: TBD
Sander Bohte (homepage)

Neural Computation Lab
Machine Learning Group
CWI Amsterdam

 

Title:

Efficient Computation in Adaptive Artificial Spiking Neural Networks

Abstract

Wednesday December 13 
Location: SV 1717Time: 12:15
BMI Seminar: Rodrigo Quian Quiroga (homepage)

Centre for Systems Neuroscience, University of Leicester, UK

 

Title:

Memory formation and long-term coding in the human hippocampus

Abstract


Wednesday November 8 
Location: AAC 120Time: 10:30
Francesca Mastrogiuseppe (homepage)

Group for Neural Theory, LNC, DEC, ENS, Paris

 

Title:

Linking connectivity, dynamics and computations in recurrent neural networks

Abstract

Synaptic connectivity determines the dynamics and computations performed by neural circuits. Due to the highly recurrent nature of circuitry in cortical networks, the relationship between connectivity, dynamics and computations is complex, and understanding it requires theoretical models.
Classical models of recurrent networks are based on connectivity that is either fully random or highly structured, e.g. clustered. Experimental measurements in contrast show that cortical connectivity lies somewhere between these two extremes. Moreover, a number of functional approaches suggest that a minimal amount of structure in the connectivity is sufficient to implement a large range of computations.
Based on these observations, here we develop a theory of recurrent networks with a connectivity consisting of a combination of a random part and a minimal, low dimensional structure. We show that in such networks, the dynamics are low-dimensional and can be directly inferred from connectivity using a geometrical approach. We exploit this understanding to determine minimal connectivity structures required to implement specific computations. We find that the dynamical range and computational capacity of a network quickly increases with the dimensionality of the structure in the connectivity. Our simplified theoretical framework captures and connects a number of outstanding experimental observations, in particular the fact that neural representations are high-dimensional and distributed, while dynamics are low-dimensional, with a dimensionality
that increases with task complexity.


Thursday November 2 
Location: SV 2 615Time:16:15
Prof. Giancarlo La Camera (homepage)

Department of Neurobiology & Behavior, Stony Brook University, New York

 

Title:

Spike-based reinforcement learning for temporal stimulus segmentation and decision making


Wednesday May 17
Location: SV 1717Time: 16:15
Anton V. CHIZHOV (homepage)

Ioffe Institute, Saint-Petersburg, Russia

 

Title:

Conductance-based refractory density model of a neuronal statistical ensemble

Abstract


Thursday, March 30th: Swiss Computational Neuroscience Seminars

 

Time: 14.15 Xiao-Jing WANG (homepage)

New York University and NYU Shanghai

Title:

What does it mean to build a large-scale brain circuit model?

Abstract

Eilif MULLER (homepage)

Blue Brain Project, EPFL, Switzerland

Title:

Knowledge integration in neuroscience: The bridging role of data-driven model

Abstract

Click here for a complete list of all future and past Swiss Computational Neuroscience seminars


2016 Past Events

Thursday June 30
Location: AAC 132
Time: 14:00
Bildergebnis für yulia sandamirskaya Yulia SANDAMIRSKAYA (homepage)


Institute of Neuroinformatics, University of Zurich

 

Title:

Dynamic Neural Fields:
from modelling visual cognition to neuromorphic robots



Abstract


Thursday June 16th
Location: SV 1717A
Time: 9:15am
259 Tobias ROSE (homepage)

Max-Planck-Institute for Neurobiology, Munich

Title:

.
Cell-specific restoration of stimulus preference after monocular deprivation in visual cortex

Abstract


Wednesday June 15th
Location: AAC 132
Time: 9:30am
Emti's photo Emti Khan (homepage)

EPFL (IC)

Title:

Approximate Bayesian Inference : Bringing Statistics, Optimization, Machine Learning, and AI together

Abstract


Wednesday June 8th
Location: AAC 132
Time: 9h30
Alireza ALEMI (homepage)


École Normale Supérieure, Paris

 

Title:

Three-threshold learning rule for optimal information storage in recurrent neural networks



Abstract


Monday May 23rd
Location: AAC 132
Time: 4:30pm
Taro TOYOIZUMI (homepage)

RIKEN, Brain Science Institute, Japan

Title:

Modeling the dynamic interaction of Hebbian and homeostatic plasticity.

Abstract


Tuesday April 12th
Location: AAC 132
Time: 14h00
Bernd ILLING (homepage)

University of Konstanz, Germany

Title:

Strain correlations in colloidal glass formers

Abstract


Wednesday March 9th
Location: AAC 120
Time: 9h30
Alessandro Ingrosso's picture Alessandro INGROSSO (homepage)


Politecnico di Torino, Italy


 

Title:

Local entropy maximization and efficient learning algorithms for neural networks



Abstract


Monday January 18th
Location: AAC 014
Time: 14h00
Peter LATHAM (homepage)

Gatsby Computational Neuroscience Unit

University College London

Title:
Probabilistic synapses
Abstract

BMI seminar

Wednesday January 06th
Location: SV1717a
Time: 12h15

Dora ANGELAKI (homepage)

Department of Neuroscience,

Baylor College of Medicine, Houston, TX, US

Title:
A Bayesian Journey through our sixth sense: From sensors to cortex and beyond
Abstract

Wednesday January 20th
Location: AAC 132
Time: 16h30
Yazan BILLEH (homepage)


California Institute of Technology

 

Title:
Functional, clustered, and mesoscale brain networks
Abstract

2015 Past Events

Thursday December 10th
Location: SG 0211
Time: 13h30
Alfonso RENART (homepage)

Champalimaud, Lisboa

Title:
State-dependence of low-dimensional population dynamics in local cortical circuits
Abstract

Vison & Computational Neurosciene Seminar

Tuesday December 1st
Location: DIA003
Time: 14h00

Greg FRANCIS (homepage)

Purdue University

Title:
tbc

Abstract

Thursday November 26th
Location: AAC 008
Time: 1:30 pm
gianluigi-mongillo Gianluigi MONGILLO (homepage)

Cen­tre de Neu­ro­physique, Phys­i­olo­gie et Patholo­gie — Uni­ver­sité Paris Descartes

Title:
Inhibitory plasticity defines the realm of excitatory plasticity
Abstract

Thursday November 19
Location: AAC 008
Time: 13h30
Mario Dipoppa (homepage)

University College London, UK

Title:
Testing canonical microcircuits in mouse visual cortex
Abstract

Thursday November 12th
Location: AAC 008
Time: 13h30
Bildergebnis für Daan Wierstra Daan WIERSTRA (homepage)

Google DeepMind

 

 

Title:
How to Build an Artificial General Intelligence
Abstract
Thursday November 5th
Location: AAC 008
Time: 13h30
Mijung PARK (homepage)

Gatsby Computational Neuroscience Unit,
London

 

Title:

Latent variable models (LVMs) for manifold learning and time series data

Abstract


Thursday October 29
Location: AAC 008
Time: 13h30
Sukbin LIM (homepage)

Department of Neurobiology,
University of Chicago

 

Title:
Inferring learning rules from distribution of firing rates in cortical neurons
Abstract

Thursday October 15
Location: AAC008
Time: 13:30
Omri Omri BARAK (homepage)

Israel Institute of
Technology, Haifa, Israel

 

Title:
Understanding trained recurrent neural networks
Abstract

Thursday October 8
Location:
Time:
Sébastien BOURET (homepage)

ICM – Institut du Cerveau et de la Moelle épinière
Hôpital Pitié-Salpêtrière

Paris

 

Title:
Complementary roles of NA and DA neurons to the effort/ reward trade off in monkeysAbstract

Thursday October 1st
Location: Room AAC 132
Time: 13:30
Joe PATON (homepage)

Champalimaud Neuroscience Programme

Title: Striatal dynamics explain duration judgments

Abstract :


Thursday September 24th
Location: AAC 132
Time: 13h30
  Rui PONTE COSTA  (ruipcosta.weebly.com/)

Centre for Neuronal Circuits and Behaviour
University of Oxford

 

 

Title:
Why does the brain need both pre- and postsynaptic long-term plasticity?

Abstract

Thursday September 17th
Location: Room AAC 132
Time: 13:30
Cristina SAVIN (homepage)

Computational and Biological Learning Lab at Cambridge University

 

Title: Spike-based probabilistic computation

Abstract :


BMI Seminar
Wednesday June 10
Location: SV1717a
Time: 12:15
Wilson TRUCCOLO (homepage)

Brain Science Institute, Department of Neuroscience, Division of Biology and Medicine, Brown University,

 

Title:
Collective neuronal dynamics during human focal seizures

Abstract

Thursday May 21
Location: AAC132
Time: 13:30
Srdjan OSTOJIC (homepage)

Group for Neural Theory, Laboratoire de Neurosciences Cognitives, ENS Paris

 

Title:
Two types of asynchronous activity in networks of excitatory and inhibitory spiking neurons

Abstract

Thursday April 30
Location: AAC 132
Time: 13:30
Gabriel OCKER (homepage)

Graduate student, Center for Neuroscience,
University of Pittsburgh

 

Title:
Synaptic plasticity shapes the structure of recurrent neuronal networks

Abstract

Thursday, April 2nd: Swiss Computational Neuroscience Seminars
University of Zurich, Irchel Campus Y35 F32
(directions)General Program 
Time: 14.00 – 15.45 Jackob MACKE (homepage)

Max Planck Institute for Biologial Cybernetics, Tuebingen

Title:
Correlations, criticality and common input

Abstract
Time: 15.45 – 16.15 Coffee Break
Time: 16.15 – 18.00
Christian MACHENS (homepage)

Champalimaud Neuroscience Programme in Lisbon, Portugal

Title:
Distributed (or mixed) representations in the brain: from data analysis to circuit mechanisms
Abstract

Click here for a complete list of all future and past Swiss Computational Neuroscience seminars


Thursday March 26
Location: AAC 132
Time: 13:30
Magnus RICHARDSON (homepage)

Systems Biology Centre,
University of Warwick

 

Title:
Dynamics of the neuromodulator adenosine

Abstract

IC SEMINAR
Friday
February 27
Location: BC 420
Time: 10:15
Martin ROHRMEIER (homepage)

Director Centre for Music and Science
University of Cambridge

 

Title:
Musical structure at the intersection between music theory, cognition and computation

Abstract

IC SEMINAR
Thursday February 19
Location: BC 420
Time: 10:15
Yoav ARTZI (homepage)

Dpt of Computer Science & Engineering
University of Washington

 

Title:
Situated Learning and Understanding of Natural Language

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Thursday February 12
Location: AAC132
Time: 13:30
Alexander MAYE (homepage)

Department of Neurophysiology and Pathophysiology, University of Hamburg ·

 

Title:
Models of action-based perception – achievements and challenges

Abstract

IC Colloquium
Thursday February 5
Location: BC 420
Time: 10:15
Kyunghyun CHO (homepage)

Informatics Laboratory of Adaptive Systems,
Dpt of Computer Science and Operations Research, University of Montreal

 

Title:
Deep Learning: Present, Challenges and Beyond

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IC Colloquium
Monday February 2
Location: BC 420
Time: 10:15
Leila WEHBE (homepage)

Machine Learning Department & Center for the Neural Basis of Cognition
Carnegie Mellon University

 

Title:
The complex brain representations involved in natural reading

more information

Friday, January 30th: Swiss Computational Neuroscience Seminars –
CMU Geneva
Time: 15:00 – 16:15 Philip SABES (homepage)

Department of Physiology and Center for Integrative Neuroscience, UCSF

Title:
From cortical activity to movement: the roles of learning, representation and dynamics

Abstract
Time: 16:15 – 16:45 Coffee Break
Time: 16:45 – 18:00 Mark CHURCHLAND (homepage)

Movement Generation Laboratory, Columbia University

Title:
Motor cortex and the neural dynamics of pattern generation
Abstract

Thursday January 22
Location: AAC 120
Time: 13:30
Riccardo ZECCHINA (homepage)

Professor, Theoretical Physics Department of Applied Science and Technology Politecnico di Torino

 

Title:
Efficient learning and generalization in networks with “material” synapses

Abstract

Thursday January 8
Location: AAC132
Time: 14:00
Lars BUESING (homepage)

Department of Statistics, Columbia University

 

Title:
Probabilistic State-Space Models for Analyzing Neural Population Recordings

Abstract

Rui Ponte Costa