2022

Sadra Sadeh [Imperial College London]9 December, 2022
A perturbative analysis of neural dynamics in brain networks
Magnus Richardson [University of Warwick, UK]9 November, 2022
tba
For updates, head over to the BCCN Berlin website.
Miriam Klein-Flügge [University of Oxford]26 October, 2022
Amygdala and PFC encode different associative structures and their connectivity helps predict subclinical variation in mental well-being
Humans and animals learn from reward but they also learn by observing statistical relationships in the world. It is the coalescence of these learning mechanisms that s...
Wulfram Gerstner [EPFL, Switzerland]13 October, 2022
Continual learning with spiking surprise
Anne Churchland [University of California Los Angeles (UCLA)]12 October, 2022
tba
For updates, head over to the BCCN Berlin website.
Jean-Pascal Pfister [Universität Bern]5 October, 2022
Bayesian synapses
Synapses are highly dynamical elements and operate on a wide range of time constants, from milliseconds to hours or even days. However, the computational principles th...
Kishore Kuchibhotla [John Hopkins University]20 September, 2022
Slow or sudden: neural and behavioral evidence for parallel learning processes
Large-scale neural recordings provide an opportunity to better understand how the brain implements critical behavioral computations related to goal-directed learning. ...

2020

Morris Moscovitch [University of Toronto]8 December, 2020
The cognitive neuroscience and neurobiology of memory consolidation and transformation
This talk is part of the SFB 1315 lecture seris. Abstract TBA.
Eleanor Maguire [Wellcome Centre for Human Neuroimaging at UCL]1 December, 2020
Characterising the neural circuitry of autobiographical memories
This talk is part of the online SFB 1315 lecture seris. The abstract can be found here. To obtain the Zoom meeting details, please send an email to sfb1315.ifb@hu-be...
Scott Waddell [University of Oxford]10 November, 2020
Neural circuit mechanisms of memory
This talk is part of the SFB 1315 lecture seris. Abstract TBA.
Lars Schwabe [University of Hamburg]20 October, 2020
Memory under stress
This talk is part of the online SFB 1315 lecture seris. The abstract can be found here. To obtain the Zoom meeting details, please send an email to sfb1315.ifb@hu-be...
Anabelle Singer [Georgia Tech & Emory University]7 July, 2020
Decoding Memory in Health and Alzheimer’s Disease
This talk is part of the SFB 1315 lecture seris. The abstract can be found here. To obtain the Zoom meeting details, please send an email to sfb1315.ifb@hu-berlin.de.
Jay McClelland [Stanford Centre for Mind, Brian & Computation]30 June, 2020
Integrating new knowledge without catastrophic interference - Computational and theoretical investigations in a hierarchically structured environment
This talk is part of the SFB 1315 lecture seris. The abstract can be found here. To obtain the Zoom meeting details, please send an email to sfb1315.ifb@hu-berlin.de.
Nathalie Rochefort [University of Edinburgh]16 June, 2020
Experience-dependent plasticity in neuronal circuits of the primary visual cortex
This talk is part of the SFB 1315 lecture seris. The abstract can be found here. To obtain the Zoom meeting details, please send an email to sfb1315.ifb@hu-berlin.de.
Catherine Carr [University of Maryland]9 June, 2020
Experience-dependent plasticity in the brainstem
This talk is part of the online SFB 1315 lecture seris. The abstract can be found here. To obtain the Zoom meeting details, please send an email to sfb1315.ifb@hu-be...
Georgina Rippon [Aston University]2 June, 2020
The gendered brain - how the concept of neuroplasticity should inform the 'male-female brain' debate
This talk is part of the SFB 1315 lecture seris. The abstract can be found here. To obtain the Zoom meeting details, please send an email to sfb1315.ifb@hu-berlin.de.
Sam McKenzie [NYU Neuroscience Institue]26 May, 2020
Changes in lateral inhibition accompany hippocampal pattern separation
This talk is part of the SFB 1315 lecture seris. The abstract can be found here. To obtain the Zoom meeting details, please send an email to sfb1315.ifb@hu-berlin.de.
Monika Schönauer [Princeton University]12 May, 2020
Imaging memory consolidation in wakefulness and sleep
This talk is part of the SFB 1315 lecture seris. The abstract can be found here. To obtain the Zoom meeting details, please send an email to sfb1315.ifb@hu-berlin.de.
Christine Grienberger [HHMI Janelia]21 April, 2020
Circuit mechanisms underlying CA1 place cell activity
This talk is part of the SFB 1315 lecture seris. The abstract can be found here. To obtain the Zoom meeting details, please send an email to sfb1315.ifb@hu-berlin.de.
Jonathan Pillow [Princeton University]11 March, 2020
Inferring the dynamics of learning from sensory decision-making behavior
The dynamics of learning in natural and artificial environments is a problem of great interest to both neuroscientists and artificial intelligence experts. However, ...
Klaus Gramman [TU Berlin]10 March, 2020
Imaging brain activity in moving humans
This talk is part of the SFB 1315 lecture seris. The abstract can be found here. To obtain the Zoom meeting details, please send an email to sfb1315.ifb@hu-berlin.de.
Marina Mikhaylova [Uniklinik Hamburg-Eppendorf]11 February, 2020
Novel insights on the function of excitatory shaft synapses
This talk is part of the SFB 1315 lecture seris. The abstract can be found here
Andrew Saxe [University of Oxford]10 February, 2020
A normative theory of how hippocampal-neocortical interactions consolidate memory
A striking finding in human memory is that hippocampal damage can cause temporally graded retrograde amnesia, which profoundly impairs recent memories while sparing ...
Petr Znamenskiy [UCL & The Francis Crick Institute]3 February, 2020
Title: tba
Alexander Attinger [Stanford University]8 January, 2020
Title: Visuomotor coupling shapes predictive processing in mouse visual cortex
Predictive processing theories of brain function are gaining increasing experimental support. An integral component of computation based on predictive coding would be ...

2019

Peter Dayan [Max-Planck-Institut für Biologische Kybernetik, Tübingen]11 December, 2019
Replay and preplay in human planning
Animals and humans replay neural patterns encoding trajectories through their environment, both whilst they solve decision-making tasks and during rest. We have been u...
Richard Morris [University of Edinburgh]11 December, 2019
The making and keeping of memory
This talk is part of the SFB 1315 lecture seris. Talk details can be found here.
Manuel Beiran [École Normale Supérieure, Paris]9 December, 2019
Dynamical Mechanisms of Flexible Timing by Temporal Scaling
Animals can flexibly perform a given action at vastly different speeds. Recent analyses of neural recordings in monkeys performing flexible timing tasks have shown tha...
Tatiana Engel [Cold Spring Harbor Laboratory]13 November, 2019
Dynamic states of neural populations during cognitive computations
Neural responses and behavior are influenced by internal brain states, such as arousal or task context. Ongoing variations of these internal states affect global patte...
21 October, 2019
Seminar 'Deep Learning in Brains and Machines'
Dear all, We kindly invite you to our seminar series ‘Deep learning in brains and machines’, run at the TU this winter semester. Time: Mondays from 10:15 - 11:45 Loc...
Steffen Gais [Institute for Medical Psychology and Behavioral Neurobiology, University of Tübingen]10 October, 2019
Sleep and the interactions in multiple memory systems
This talk is part of the SFB 1315 lecture seris. Talk details can be found here.
Bernstein Conference 17-20 September, 2019
We are very happy that the TU will host the Bernstein Conference for Computational Neuroscience again this year. We have a very exciting line-up of speakers and worksh...
Andrea Hasenstaub@BCCN [University of California]11 September, 2019
tba
Simon Weber [TU Berlin]22 August, 2019
PhD thesis defense of Simon Weber
Simon Weber will officially finish his time as a PhD student in our lab by defending his thesis titled ‘Models of Spatial Representations’. Take a look at Simon’s publ...
Paola Suárez [BCCN Berlin]16 August, 2019
Disentangling sensory and top-down information during perceptual decision making
In the field of perceptual decision making, the relationship between the activity of sensory neurons and decision outcomes is known as choice probability (CP) and has ...
Nas Ahmad [University of Oxford]17 June, 2019
Spike - A GPU Optimised Spiking Neural Network Simulator
Spiking Neural Network (SNN) simulations require internal variables – such as the membrane voltages of individual neurons and their synaptic inputs – to be updated on...
Joram Soch [BCCN Berlin]13 February, 2019
Bayesian model selection for statistical analysis of neural data - Lessons from fMRI
In cognitive neuroscience, functional magnetic resonance imaging (fMRI) data are routinely analyzed using general linear models (GLMs) without systematic model quality...
Pierre Yger [CR at Institut de la Vision, Paris]30 January, 2019
Fast and accurate spike sorting for thousands of channels
Understanding how assemblies of neurons encode information requires recording of large populations of cells in the brain. In recent years, multi-electrode arrays and l...
Josef Ladenbauer [Ecole Normale Superieure Paris, TU Berlin]23 January, 2019
Statistical inference for mechanistic models of neural populations based on spike-train data
Multi-neuronal spike-train data recorded in vivo typically exhibit rich dynamics as well as considerable variability across cells and repetitions of identical experime...
Jakob Macke [TU München]16 January, 2019
Teaching neural networks to perform statistical inference on models of neural networks
Neuroscience, as well as many other fields of science and engineering, make extensive use of complex models which describe the structure and dynamics of the process be...

2018

Sophie Bagur [ESPCI, Paris]18 November, 2018
Go/No-Go task engagement enhances population representation of target stimuli in primary auditory cortex
The main functions of primary sensory cortical areas are classically considered to be the extraction and representation of stimulus features. In contrast, higher cort...
Tobias Leva [MDC Berlin]31 October, 2018
Large scale electrophysiology with Neuropixel probes
Technological advances in nano manufacturing have led to the development of next-generation silicone probes, which permit in-vivo recordings from hundreds of neurons s...
Tara Keck [University College London]23 October, 2018
Synaptic dynamics in mouse visual cortex following sensory deprivation
Homeostatic synaptic scaling is thought to occur cell-wide, but recent evidence suggests this form of stabilizing plasticity can be implemented more locally in reduced...
Filip Vercruysse [TU Berlin]23 October, 2018
Introduction to Data Acquisition
As part of the seminar series on “Data Analysis of Large Scale Neuronal Data” (Current Topics in Computational Neuroscience) Filip Vercruysse will give an introduction...
Júlia Gallinaro [BCCN Freiburg]3 July, 2018
Associative properties of a structural plasticity rule based on firing rate homeostasis
The interaction between Hebbian and homeostatic plasticity in neuronal networks has recently received a lot of attention. Hebbian synaptic plasticity like STDP, known ...
Yoram Burak [Racah Institute of Physics, and Edmond and Lily Safra Center for Brain Sciences, Hebrew University of Jerusalem]27 June, 2018
Shaping neural circuits by high order synaptic interactions
How do plasticity rules, acting locally at the level of single synapses, shape the global structure of recurrent neural circuits? We recently developed a theoretical f...
Katharina Wilmes [Imperial College London]12 June, 2018
Roles of inhibitory interneurons in plasticity
Inhibitory interneurons form canonical circuit motifs across brain areas and have been repeatedly shown to play a role in learning and memory. There are several ways i...
Matthieu Gilson [Universitat Pompeu Fabra]29 May, 2018
Framework to extract and interpret biomarkers the spatio-temporal structure of fMRI data
Directed connectivity inference has become a cornerstone in neuroscience following the recent progress in neuroimaging techniques to characterize neuronal networks. In...
Alberto Bernacchia [University of Oxford]22 May, 2018
The non-sequential state of cortical circuits
A fundamental task of the brain is learning causal effects between sensory stimuli, by detecting their systematic temporal order. It has been shown that sequential act...
Friedemann Zenke [University of Oxford]15 May, 2018
What can we learn about synaptic plasticity from spiking neural network models?
Long-term synaptic changes are thought to be crucial for learning and memory. To achieve this feat, Hebbian plasticity and slow forms of homeostatic plasticity work in...
Timothy O'Leary [University of Cambridge]19 April, 2018
System size as a regulatory feedback signal in synapses
I will present a reevaluation of the thinking behind common models of biochemical switches involved in synaptic plasticity. Typically, the signalling pathways in a syn...

2017

Inna Slutsky [Tel Aviv University]11 July, 2017
Maintaining the balance between stability and plasticity in hippocampal networks
How neuronal circuits maintain the balance between stability and plasticity in a constantly changing environment remains a fundamental question in neuroscience. Empiri...
Alfonso Renart [Champalimaud]4 July, 2017
The Cost of Control in Perceptual Decision Making
Normative models of behavior specify optimal policies for agents under specific contingencies and reward schedules. In reinforcement learning (RL), agents are typicall...
Alexis Dubreuil [Ecole Normale Supérieure, Paris]26 June, 2017
A sensorimotor hub driving phototaxis in zebrafish
Animals continuously gather sensory cues in order to move towards favorable environments. Efficient goal-directed navigation requires sensory perception and motor comm...
Tatiana Engel [Stanford University]23 June, 2017
Discovering dynamic computations in the brain from large-scale neural recordings
Neural responses and behavior are influenced by internal brain states, such as arousal, vigilance, or task context. Ongoing variations of these internal states affect ...
Romain Cazé [Imperial College London]30 May, 2017
Dendrites enable a robust mechanism for neuronal stimulus selectivity
Hearing, vision, touch – underlying all of these senses is stimulus selectivity, a robust information processing operation in which cortical neurons respond more to so...
Marije ter Wal [Radboud University]23 May, 2017
Buzzing brains in a busy world: could synchronization between circuits underlie dynamic neural communication?
Our brains function in an ever changing world. The inputs from our senses are never the same twice, and in addition, the appropriate response to an input depends on th...
Tatjana Tchumatchenko [MPI Frankfurt]15 May, 2017
Shaping Network Dynamics via Individual Neurons"
Despite recent experimental advances, understanding how connectivity and single neuron properties interact in neural circuits remains a mayor challenge in neurobiology...
Wulfram Gerstner [EPFL]10 May, 2017
Synaptic plasticity controlled by surprise
During Hebbian plasticity, pre- and postsynaptic activity work together to cause a change of the weights. However, neuromodulators signaling reward, novelty, or supri...
Rui Costa [University of Oxford]2 May, 2017
Statistical excitatory and inhibitory long-term synaptic plasticity
Long-term modifications in neuronal connections are critical for reliable memory storage in the brain. However, their locus of expression – pre- or postsynaptic – is h...

2016

Christina Buetfering [University College London]22 July, 2016
Parvalbumin interneurons provide grid cell–driven recurrent inhibition in the medial entorhinal cortex
Grid cells in the medial entorhinal cortex (MEC) generate metric spatial representations. Recent attractor-network models suggest an essential role for GABAergic inter...
Albert Gidon [HU Berlin]15 July, 2016
Design principles for inhibition in dendrites
Synaptic inhibition plays a key role in shaping the dynamics of neuronal networks in the brain. Typically, an inhibitory axon contacts a particular dendritic subdomain...
Sami El Boustani [EPFL]8 July, 2016
Stimulus-dependent inhibitory action of mouse V1 interneurons
GABAergic interneurons play a key role in shaping sensory processing and plasticity of the mature and developing brain. Interneurons can be divided into classes that d...
Jens Kremkow [Humboldt-University of Berlin & NWFZ]1 July, 2016
The role of balanced and correlated excitation and inhibition in brain function
The dynamic interaction of excitatory and inhibitory neurons in the neuronal circuits of the brain forms the basis for sensory processing, perception and behavior. In ...
Alberto Bacci [ENP Paris]3 June, 2016
Long-term Plasticity of Neocortical GABAergic Synapses
In the neocortex, the coexistence of temporally locked excitation and inhibition governs complex network activity underlying cognitive functions, and is believed to be...
Jochen Triesch [IZN Frankfurt]27 May, 2016
Where's the Noise? Key Features of Spontaneous Activity and Neural Variability Arise through Learning in a Deterministic Network
Even in the absence of sensory stimulation the brain is spontaneously active. This background “noise” seems to be the dominant cause of the notoriously high trial-to-t...
Brent Doiron [University of Pittsburgh]23 May, 2016
Self-organized circuit structure in networks of spiking neurons with plastic synapses
The wiring of cortex is overwhelmingly complex. In particular, the circuit structure of cortical networks has both an over and under representation of certain motifs,...
Tim O'Leary [University of Cambridge]21 March, 2016
Neuromodulation, circadian rhythms and nervous system robustness
Neuromodulation can profoundly alter the intrinsic and synaptic properties of a neural circuit, leading to changes in physiological function that underlie motor behavi...
Robert Guetig [MPI Goettingen]12 February, 2016
Spiking neurons can discover predictive features by aggregate-label learning
abstract: The brain routinely discovers sensory clues that predict opportunities or dangers. However, it is unclear how neural learning processes can bridge the typica...
Walter Senn [University of Bern]5 February, 2016
Learning by the dendritic prediction of somatic firing
I will present a biological form of learning in a dendritic tree with conductance-based synapses. The neuron is considered as an intrinsic prediction element that rece...
Christina Savin [IST Austria]22 January, 2016
Unsupervised learning in neural circuits: emergent computation through the interaction between different forms of plasticity
Confronted with the continuous flow of experience, the brain takes amorphous sensory inputs and translates them into coherent objects and scenes. This process requires...
Yonatan Loewenstein [Hebrew University]1 January, 2016
Modeling operant learning: from synaptic plasticity to behavior
I will present two computational models that provide a quantitative description of learning behavior of humans and animals in operant learning tasks. The first model p...

2015

Claudia Clopath [Imperial College, London]4 December, 2015
Emergence of functional connections in neural networks with synaptic plasticity
Recent novel experimental techniques allowed to study the relationship between neurons’ property and connectivity. In particular, in the layer II/III of primary visua...
Pedro Goncalves [Gatsby, UCL]14 July, 2015
Dynamics of an oculomotor integrator revealed by instantaneous optogenetic perturbations.
The oculomotor integrator (OI) in the hindbrain transforms incoming horizontal eye movement commands into position signals to maintain stable eye fixations after sacca...
Lorenz Goenner [TU Chemnitz]7 July, 2015
Place-Cell Sequences Signal Behavioral Goals: A Model of Goal Memory in Cortico-Hippocampal Circuits
Hippocampal place-cell sequences observed during awake immobility often represent previous spatial experiences, but have recently also been linked to path planning in ...
Elisa Tartaglia [Institut de la Vision, Paris]30 June, 2015
Modulation of Network Excitability by Persistent Activity: How Working Memory Affects the Response to Incoming Stimuli
Over short time periods, memories are stored by sustained patterns of spiking activity which, once initiated by the stimulus, persist over the entire retention interva...
Klaus Wimmer [IDIBAPS, Barcelona]23 June, 2015
Network dynamics underlying the relationship between neuronal and behavioral variability
The trial-to-trial variability of cortical neurons correlates with variability of behavioral reports. This relationship can arise from sensory variability biasing beha...
Jean-Pascal Pfister [University of Zurich, ETH Zurich]17 June, 2015
Matching storage and recall in spiking neural networks
Synapses are highly dynamical elements with extraordinary complexity. The up- or down-regulation of synaptic strength depends on more than 100 different interacting pr...
Valerio Mante [University of Zurich]5 May, 2015
A new look at gating: selective integration of sensory signals through network dynamics
A hallmark of decision-making in primates is contextual sensitivity: a given stimulus can lead to different decisions depending on the context in which it is presented...
Guillaume Hennequin [University of Cambridge]5 May, 2015
Why should motor cortex normally be nonnormal?
Populations of neurons in motor cortex engage in complex transient dynamics of large amplitude during the execution of limb movements. Traditional, randomly connected ...