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CNS*2020 Online

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Alice Geminiani

University of Pavia
PostDoc Researcher
Pavia

I'm a PostDoc researcher at the University of Pavia working on cerebellum modelling through Spiking Neural Networks. I have been studying the impact of single neuron dynamics and distributed plasticity in cerebellar processing and I am currently working on embedding structural properties of cerebellar networks into spiking models, mapped on the Allen Brain Atlas.

spiking neural networks; cerebellum; brain atlases; morphologically-detailed network models; point neurons; motor learning.

ResearchGate

My Friends

3:00pm CEST

K1: Deep reinforcement learning and its neuroscientific implications CrowdcastMatthew Botvinick

4:00pm CEST

Tools and techniques to bridge the gap between models and closed-loop neuroscience experiments Link (T3)Pablo Varona • Rodrigo Amaducci • Manuel Reyes-Sanchez

7:00pm CEST

Methods from Data Science for Model Simulation, Analysis, and Visualization Link (T6)Cengiz Gunay • Anca Doloc-Mihu

10:00pm CEST

Discussion with Matt Botvinick CrowdcastMatthew Botvinick

11:00pm CEST

Information theory and directed network inference (using JIDT and IDTxl) CrowdcastJoseph Lizier • Leonardo Novelli

11:30pm CEST

Introduction to the Brain Dynamics Toolbox CrowdcastStewart Heitmann

2:00pm CEST

O2: Neural Manifold Models for Characterising Brain Circuit Dynamics in Neurodegenerative Disease CrowdcastSeigfred Prado

2:20pm CEST

O3: Coupled experimental and modeling representation of the mechanisms of epileptic discharges in rat brain slices CrowdcastAnton Chizhov

3:00pm CEST

K2: A new computational framework for understanding vision in our brain CrowdcastLi Zhaoping

4:20pm CEST

O4: Towards multipurpose bio-realistic models of cortical circuits CrowdcastAnton Arkhipov

4:40pm CEST

O5: How Stimulus Statistics Affect the Receptive Fields of Cells in Primary Visual Cortex CrowdcastAli Almasi

5:40pm CEST

F2: Using evolutionary algorithms to explore single-cell heterogeneity and microcircuit operation in the hippocampus CrowdcastAndrea Navas-Olive

6:20pm CEST

O7: 'Awake Delta' and Theta-Rhythmic Modes of Hippocampal Network Activity Track Intermittent Locomotor Behaviors in Rat CrowdcastNathan Schultheiss

7:00pm CEST

P114: Effect of Diverse Recoding of Granule Cells on Delay Eyeblink Conditioning in A Cerebellar Network Slot 02Woochang Lim P192: Estimating Transfer Entropy in Continuous Time For Spike Trains Slot 13David Shorten • Joseph Lizier P200: Computational modeling of the input/output mapping in the cerebellar cortex Slot 19Sungho Hong P212: Neuron conduction delay plasticity for unsupervised learning Slot 12Joshua T Arnold P224: Hopf Bifurcation in Mean Field Explains Critical Avalanches in Excitation-Inhibition Balanced Neuronal Networks: A Mechanism for Multiscale Variabilit Slot 06Changsong Zhou P39: Simulating cell to cell interactions during the cerebellar development Slot 04Mizuki Kato P42: A nanometer range reconstruction of the Purkinje cell dendritic tree for computational models Slot 17Mykola Medvidov P80: Comp-NeuroFedora, a Free/Open Source operating system for computational neuroscience: download, install, research Slot 10Ankur Sinha

8:00pm CEST

P101: Representing predictability of sequence patterns in a random network with short-term plasticity Slot 03Thomas R. Knösche P10: Using Adaptive Exponential Integrate-and-Fire neurons to study general principles of patho-topology of cerebellar networks Slot 19Maurizio De Pitta P119: Relating transfer entropy to network structure and motifs, and implications for brain network inference Slot 10Leonardo Novelli P144: Closed loop parameter estimation using GPU acceleration with GeNN Slot 03Felix B. Kern P16: A computational model for time cell-based learning of interval timing Slot 17Sorinel Oprisan P190: Neural Field Theory: Modelling development of topography via activity based mechanisms. Slot 18Nicholas Gale P194: Pattern separation based on rate coding in a biologically detailed cerebellar network model Slot 06Ohki Katakura P27: Lessons from Artificial Neural Network for studying coding principles of Biological Neural Network Slot 11Hyojin Bae P43: Responses of a Purkinje cell model to inhibition and excitation Slot 09Gabriela Capo Rangel P4: Self-organization of connectivity in spiking neural networks with balanced excitation and inhibition Slot 10Jihoon Park

9:00pm CEST

P111: The impact of noise on the temporal patterning of neural synchronization Slot 02Leonid Rubchinsky P162: Approximative models for enabling multi-scale simulations Slot 14Mikko Lehtimäki P206: Parameter exploration in neuron and synapse models driven by stimuli from living neuron recordings Slot 10Manuel Reyes-Sanchez P44: 3D modeling of Purkinje cell activity Slot 04Alexey Martyushev P62: Large Scale Discrimination between Neural Models and Experimental Data Slot 08Russell Jarvis

11:00pm CEST

CNS Party Party: Whyville!jim Bower • Rebekah Evans

1:00pm CEST

F3: Neuronal morphology imposes a tradeoff between stability, accuracy and efficiency of synaptic scaling CrowdcastAdriano Bellotti

3:00pm CEST

K3: Information and Decision-Making CrowdcastDaniel Polani

5:40pm CEST

O12: A Spatial Developmental Generative Model of Human Brain Structural Connectivity CrowdcastStuart Oldham

9:00pm CEST

P124: Morphologically-detailed reconstruction of cerebellar glial cells Slot 11Laura Keto P34: Atlas-mapped reconstruction of the cerebellar Lingula Slot 11Alice Geminiani

7:00am CEST

K4: Computational models of neural development CrowdcastGeoffrey J. Goodhill

2:00pm CEST

W05 S00: Opening Remarks On Spatiotemporal Dynamics in Neuroimaging: Models and Analysis Crowdcast (W05)Paula Sanz-Leon • James Roberts • Changsong Zhou • Yujiang Wang • Patricio Orio • Katharina Glomb • John Griffiths • Johan van der Meer

2:10pm CEST

W05 S01: Neural Flows: a toolbox for estimation of velocities, and sparse representation of whole-brain spatiotemporal wave dynamics. Crowdcast (W05)Paula Sanz-Leon

2:30pm CEST

W05 S02: Hierarchical Connectome Modes and Critical State Jointly Maximize Human Brain Functional Diversity Crowdcast (W05)Changsong Zhou

3:00pm CEST

W1 S0: Methods of Information Theory in Comptuational Neuroscience - Opening Remarks Crowdcast (W01)Joseph Lizier

4:00pm CEST

W4 S1: MOOSE: Multiscale Object-Oriented Simulation Environment Crowdcast (W04)Upinder Bhalla

4:30pm CEST

W4 S2: The Virtual Brain (TVB) and Virtual Brain Cloud Crowdcast (W04)Petra Ritter

5:00pm CEST

W06 S1: An overview of data, tools, and computational analysis at the Allen Insitute Crowdcast (W06)Michael Hawrylycz W4 S3: Arbor Simulator Crowdcast (W04)Ben Cumming

5:30pm CEST

W06 S2: Cell types of mouse cortex: definition and genetic access Crowdcast (W06)Bosiljka Tasic

6:00pm CEST

W06 S3: Identifying the molecular signatures of CA1 projection classes Crowdcast (W06)Gabriela Michel W4 S4: NEST Simulator Crowdcast (W04)Charl Linssen

6:30pm CEST

W4 Discussion 1: Where should we be in 5 years and what tools/resources are missing? Crowdcast (W04)Salvador Dura-Bernal • Kael Dai • Padraig Gleeson

6:45pm CEST

W06 S4: The Allen Mouse Common Coordinate Framework: a 3D reference atlas enabling data integration Crowdcast (W06)Lydia Ng

7:00pm CEST

W4 S5: The Brian Simulator Crowdcast (W04)Dan Goodman

7:15pm CEST

W06 S5: A practical guide to accessing and using Allen Mouse Brain Connectivity Atlas data Crowdcast (W06)Jennifer Whitesell

7:30pm CEST

W4 S6: The NEURON Simulator Crowdcast (W04)Lia Eggleston • Robert McDougal

7:45pm CEST

W06 S6: Is cortex a hierarchically organized set of canonical local circuits? Crowdcast (W06)Stefan Mihalas

8:00pm CEST

W4 S7: NetPyNE modeling tool Crowdcast (W04)Salvador Dura-Bernal

8:15pm CEST

W06 S7: Deep brain discovery: Learning how to interpret variability in neural structure Crowdcast (W06)Eva Dyer

8:30pm CEST

W4 S8: The SONATA data format and the Brain Modeling Toolkit (BMTK) Crowdcast (W04)Anton Arkhipov

8:45pm CEST

W06 S8: Discussion Crowdcast (W06)

4:00pm CEST

W4 S9: PyNN modeling tool Crowdcast (W04)Andrew Davison

4:30pm CEST

W4 S10: The Human Brain Project (HBP) Brain Simulation Platform (BSP) Crowdcast (W04)Luca Leonardo Bologna

5:00pm CEST

W4 S11: ModelDB Crowdcast (W04)Ted Carnevale • Serena Thaw-Poon

6:00pm CEST

W06 S11: Mapping the Connectivity of Cell Types with EM Connectomics Crowdcast (W06)Nuno da Costa W4 S12: NeuroML and Open Source Brain Crowdcast (W04)Padraig Gleeson

6:30pm CEST

W4 S13: CoreNEURON simulator Crowdcast (W04)Pramod Kumbhar

7:00pm CEST

W4 Discussion 2: Should detailed modeling be more widely used? should tools/standards converge or diversify? Crowdcast (W04)Salvador Dura-Bernal • Kael Dai • Padraig Gleeson

7:30pm CEST

W06 S13: Systematic Integration of Structural and Functional Data into Multi-Scale Models of Mouse Primary Visual Cortex Crowdcast (W06)Anton Arkhipov W4 S14: The Neuroscience Gateway (NSG) Crowdcast (W04)Subhashini Sivagnanam

8:00pm CEST

W06 S14: Leveraging data, tools and models to gain new insights in mouse visual cortex Crowdcast (W06)Gaute Einevoll

8:15pm CEST

W9 S6 - Extended Lunch Crowdcast (W09)

8:30pm CEST

W06 S15: Discussion Crowdcast (W06)

9:45pm CEST

W9 S9 - Toward multi-scale brain data assimilation Crowdcast (W09)Kenji Doya • Carlos Gutierrez • Ken Nakae • Hiromichi Tsukada

5:00pm CEST

W06 S16: From hypothesis to data: Open two-photon brain observatories in system neuroscience Crowdcast (W06)Jerome Lecoq

5:30pm CEST

W06 S17: Functional computation in the mouse visual cortex Crowdcast (W06)Michael Buice

6:00pm CEST

W06 S18:Testing theories of sensory coding and learning with the Allen Institute's Brain Observatory Crowdcast (W06)Joel Zylberberg

7:00pm CEST

W06 S19:Explorations of self-supervised learning in the neocortex using open data Crowdcast (W06)Blake Richards

7:30pm CEST

W06 S20:Building a pipeline to survey spiking activity across the mouse visual system Crowdcast (W06)Josh Siegle

8:00pm CEST

W06 S21: Reconciling functional differences in neural populations inferred from two-photon imaging and electrophysiology Crowdcast (W06)Saskia de Vries

8:30pm CEST

W06 S22: Discussion Crowdcast (W06)