All Meetings

Lishuo Zhang

Higher-order Granger reservoir computing: simultaneously achieving scalable complex structures inference and accurate dynamics prediction.
Xin Li, Qunxi Zhu, Chengli Zhao, Xiaojun Duan, Bolin Zhao, Xue Zhang, Huanfei Ma, Jie Sun & Wei Lin ( Link , PDF )

Zhenyuan Jin

Local and long-distance organization of prefrontal cortex circuits in the marmoset brain.
Akiya Watakabe, Henrik Skibbe, Ken Nakae, Hiroshi Abe, Noritaka Ichinohe, Muhammad Febrian Rachmadi, Jian Wang, Masafumi Takaji, Hiroaki Mizukami, Alexander Woodward, Rui Gong, Junichi Hata, David C. Van Essen, Hideyuki Okano, Shin Ishii, and Tetsuo Yamamori ( Link , PDF )

Xuexing Du

Incorporating neuro-inspired adaptability for continual learning in artificial intelligence.
Liyuan Wang, Xingxing Zhang, Qian Li, Mingtian Zhang, Hang Su, Jun Zhu & Yi Zhong ( Link , PDF )

Kai Chen

Theory of coupled neuronal-synaptic dynamics.
David G. Clark and Larry F. Abbott ( Link , PDF )

Siyuan Shen

A simple reservoir model of working memory with real values.
Anthony Strock, Nicolas P. Rougier and Xavier Hinaut ( Link , PDF )

Jiahan Zhang

Sensory-motor cortices shape functional connectivity dynamics in the human brain.
Xiaolu Kong, Ru Kong, Csaba Orban, Peng Wang, Shaoshi Zhang, Kevin Anderson, Avram Holmes, John D. Murray, Gustavo Deco, Martijn van den Heuvel & B. T. Thomas Yeo ( Link , PDF )

Jingyang Ma

Spiking neurons can discover predictive features by aggregate-label learning.
Robert Gütig ( Link , PDF )

JiaHua Xiang

Reconstructing the Mind's Eye:fMRI-to-Image with Contrastive Learning and Diffusion Priors.
Paul S. Scotti, Atmadeep Banerjee, Jimmie Goode, Stepan Shabalin, Alex Nguyen, Ethan Cohen, Aidan J. Dempster, Nathalie Verlinde, Elad Yundler, David Weisberg, Kenneth A. Norman, Tanishq Mathew Abraham ( Link , PDF )

Mingzhang Wang

Learning better with Dale's Law: A Spectral Perspective.
Pingsheng Li, Jonathan Cornford, Arna Ghosh, Blake Richards ( Link , PDF )

Jialin Duan

book report of Neuronal Dynamics.
( Link , PDF )

Lishuo Zhang

Harvesting random embedding for high-frequency change-point detection in temporal complex systems.
Jia-Wen Hou, Huan-Fei Ma, Dake He, Jie Sun, Qing Nie and Wei Lin ( Link , PDF )

Jingyao Zhang

Bifurcation in space: Emergence of function modularity in the neocortex.
Xiao-Jing Wang, Junjie Jiang, Ulises Pereira-Obilinovic ( Link , PDF )

Jiayue Yu

Neuronal wiring diagram of an adult brain.
Sven Dorkenwald, Arie Matsliah, Amy R Sterling, Philipp Schlegel, Szi-chieh Yu, Claire E. McKellar, Albert Lin, Marta Costa, Katharina Eichler, Yijie Yin, Will Silversmith, Casey Schneider-Mizell, Chris S. Jordan, Derrick Brittain, Akhilesh Halageri, Kai Kuehner, Oluwaseun Ogedengbe, Ryan Morey, Jay Gager, Krzysztof Kruk, Eric Perlman, Runzhe Yang, David Deutsch, Doug Bland, Marissa Sorek, Ran Lu, Thomas Macrina, Kisuk Lee, J. Alexander Bae, Shang Mu, Barak Nehoran, Eric Mitchell, Sergiy Popovych, Jingpeng Wu, Zhen Jia, Manuel Castro, Nico Kemnitz, Dodam Ih, Alexander Shakeel Bates, Nils Eckstein, Jan Funke, Forrest Collman, Davi D. Bock, Gregory S.X.E. Jefferis, H. Sebastian Seung, Mala Murthy, the FlyWire Consortium ( Link , PDF )

Chongming Liu

Some papers about the training algorithm of spiking neural networks.
Multiple papers ( PDF1 , PDF2 )

Shouwei Luo

Structured cerebellar connectivity supports resilient pattern separation.
Tri M. Nguyen, Logan A. Thomas, Jeff L. Rhoades, Ilaria Ricchi, Xintong Cindy Yuan, Arlo Sheridan, David G. C. Hildebrand, Jan Funke, Wade G. Regehr, Wei-Chung Allen Lee ( Link , PDF )

Boran Yang

Geometric constraints on human brain function.
James C. Pang, Kevin M. Aquino, Marianne Oldehinkel, Peter A. Robinson, Ben D. Fulcher, Michael Breakspear, Alex Fornito ( Link , PDF )

Ziling Wang

Learnable latent embeddings for joint behavioral and neural analysis.
Steffen Schneider, Jin Hwa Lee, Mackenzie Weygandt Mathis ( Link , PDF )

Zheng Wang

[project report] The role of recurrent matrix in reservoir computing.

Xiaoyu Chen

Virtual deep brain stimulation: Multiscale co-simulation of a spiking basal ganglia model and a whole-brain mean-field model with The Virtual Brain.
Jil M. Meier, Dionysios Perdikis, Andr ́e Blickensdo ̈rfer, Leon Stefanovski, Qin Liu, Oliver Maith, Helge Ü. Dinkelbach, Javier Baladron, Fred H. Hamker, Petra Ritter ( Link , PDF )

Chongming Liu

Low-dimensional models of neural population activity in sensory cortical circuits.
Evan Archer, Urs Koster, Jonathan Pillow, Jakob H. Macke ( Link , PDF )

Zhenyuan Jin

A Tweaking Principle for Executive Control: Circuit Mechanism for Rule-Based Task Switching and Conflict Resolution.
Salva Ardid and Xiao-Jing Wang ( Link , PDF )

Zhankai Mao

Noise improves the association between effects of local stimulation and structural degree of brain networks.
Yi Zheng, Shaoting Tang, Hongwei Zheng, Xin Wang, Longzhao Liu, Yaqian Yang, Yi Zhen, Zhiming Zheng ( Link , PDF )

Xuexing Du

Flexible and efficient simulation-based inference for models of decision-making.
Jan Boelts, Jan-Matthis Lueckmann, Richard Gao, Jakob H Macke ( Link , PDF )

Yixiao Feng

Mapping functional brain networks from the structural connectome: Relating the series expansion and rife mode approaches.
Prejaas Tewariea, Bastian Prasseb, Jil M. Meierc, Fernando A.N. Santosd, Linda Douwd, Menno M. Schoonheim, Cornelis J. Stam, Piet Van Mieghem, Arjan Hillebrand ( Link , PDF )

Xiu Xin

A model-free approach which was developed to detect temporal change-point in time series.
Multiple papers ( PDF1 , PDF2 )

Mingzhang Wang

Rich-club connectivity, diverse population coupling, and dynamical activity patterns emerging from local cortical circuits.
Yifan Gu, Yang Qi, Pulin Gong ( Link , PDF )

Jingyang Ma

A brain-inspired computational model for spatio-temporal information processing.
Xiaohan Lin, Xiaolong Zou, Zilong Ji, Tiejun Huang, Si Wu, Yuanyuan Mi ( Link , PDF )

Jiayue Yu

Undergraduate Project : Using recurrent neural network to train the delay match sample task.

Licheng Zou

Network mechanisms underlying representational drift in area CA1 of hippocampus.
Federico Devalle and Alex Roxin ( Link , PDF )

Ziling Wang

Representational geometry of perceptual decisions in the monkey parietal cortex.
( Link , PDF )

Xiaoyu Chen

Modelling and prediction of the dynamic responses of large-scale brain networks during direct electrical stimulation.
Yuxiao Yang, Shaoyu Qiao, Omid G. Sani, J. Isaac Sedillo, Breonna Ferrentino, Bijan Pesaran & Maryam M. Shanechi ( Link , PDF )

Zheng Wang

Reservoir Computing Beyond Memory-Nonlinearity Trade off.
Masanobu Inubushi & Kazuyuki Yoshimura ( Link , PDF )

Chongming Liu

Quadratic neural network: a brain-inspired artificial intelligence model.

Zhenyuan Jin

Specificity and robustness of long-distance connections in weighted, interareal connectomes.
Richard F. Betzel and Danielle S. Bassett ( Link , PDF )

Shouwei Luo

Dendritic Self-Organizing Maps for Continual Learning.
Kosmas Pinitas, Spyridon Chavlis and Panayiota Poirazi ( Link , PDF )

Yixiao Feng

Scaling of sensory information in large neural populations shows signatures of information-limiting correlations.
Mohammad Mehdi Kafashan, Anna W. Jaffe , Selmaan N. Chettih, Ramon Nogueira, Iñigo Arandia-Romero , Christopher D. Harvey, Rubén Moreno-Bote & Jan Drugowitsch ( Link , PDF )

Boran Yang

Multitask representations in the human cortex transform along a sensory-to-motor hierarchy.
Takuya Ito & John D. Murray ( Link , PDF )

Kai Chen

A new theoretical framework jointly explains behavioral and neural variability across subjects performing flexible decision-making.
Marino Pagan, Vincent D Tang, Mikio C. Aoi, Jonathan W. Pillow, Valerio Mante, David Sussillo, Carlos D. Brody ( Link , PDF )

Xuexing Du

CRBA: A Competitive Rate-Based Algorithm Based on Competitive Spiking Neural Networks.
Paolo G. Cachi, Sebastián Ventura and Krzysztof J. Cios ( Link , PDF )

Mingzhang Wang

Functional Implications of Dale's Law in Balanced Network Dynamics and Decision Making.
Victor J. Barranca, Asha Bhuiyan, Max Sundgren and Fangzhou Xing ( Link , PDF )

Yeqiang Liao

Fast algorithms for simulation of dynamics based on the bilinear dendritic integration rule.
Wei P. Dai, Songting Li and Douglas Zhou ( Link , PDF )

Licheng Zou

Flexible categorization in perceptual decision making.
Genís Prat-Ortega, Klaus Wimmer, Alex Roxin & Jaime de la Rocha ( Link , PDF )

Rong Chen

A Large-Scale High-Density Weighted Structural Connectome of the Macaque Brain Acquired by Predicting Missing Links.
Yuhan Chen, Zi-Ke Zhang, Yong He and Changsong Zhou ( Link , PDF )

Yixiao Feng

Scaling of sensory information in large neural populations shows signatures of information-limiting correlations.
MohammadMehdi Kafashan, Anna W. Jaffe , Selmaan N. Chettih, Ramon Nogueira, Iñigo Arandia-Romero , Christopher D. Harvey, Rubén Moreno-Bote & Jan Drugowitsch ( Link , PDF )

Ziling Wang

Prediction-error neurons in circuits with multiple neuron types: Formation, refinement, and functional implications.
Loreen Hertäg and Claudia Clopath ( Link , PDF )

Maokai Zhan

Redefining the connectome: A multi-modal, asymmetric, weighted,and signed description of anatomical connectivity.
Jacob Tanner, Joshua Faskowitz, Andreia Sofia Teixeira, Caio Seguin, Ludovico Coletta, Alessandro Gozzi, Bratislav Miˇsi ́c, Richard F. Betzel ( Link , PDF )

Bo Wang

Brain-inspired chaotic backpropagation for MLP.
Peng Tao, Jie Cheng, Luonan Chen ( Link , PDF )

Jingyang Ma

Using single neuron model to predict the spike time and its applications.
Multiple papers ( PDF1 , PDF2 , PDF3 , Slides )

Zheng Wang

Implicit Self-Regularization in Deep Neural Networks: Evidence from Random Matrix Theory and Implications for Learning.
Charles H. Martin, Michael W. Mahoney ( Link , PDF , Slides )

Chongming Liu

Brain-Score: Which Artificial Neural Network for Object Recognition is most Brain-Like?.
Martin Schrimpf, Jonas Kubilius, Ha Hong, Najib J. Majaj, Rishi Rajalingham, Elias B. Issa, Kohitij Kar, Pouya Bashivan, Jonathan Prescott-Roy, Kailyn Schmidt, Daniel L. K. Yamins, James J. DiCarlo ( Link , PDF , Slides )

Zhenyuan Jin

Multimodal analysis demonstrating the shaping of functional gradients in the marmoset brain.
Chuanjun Tong, Cirong Liu, Kaiwei Zhang, Binshi Bo, Ying Xia, Hao Yang, Yanqiu Feng, Zhifeng Liang ( Link , PDF , Slides )

Shouwei Luo

Neural Dynamics Part 2.
( Link , PDF )

Kai Chen

Flexible selection of task-relevant features through population gating.
Joao Barbosa, Remi Proville, Chris C. Rodgers, Michael R. DeWeese, Srdjan Ostojic, Yves Boubenec ( Link , PDF , Slides )

Xuexing Du

Energy-efficient network activity from disparate circuit parameters.
Michael Deistler, Jakob H. Macke, Pedro J. Gonçalves ( Link , PDF , Slides )

Licheng Zou

Several papers in decision-making.

Yeqiang Liao

Neural Dynamics.
( Link , PDF )

Jingyang Ma

The Forward-Forward Algorithm: Some Preliminary Investigations.
Geoffrey Hinton ( Link , PDF , Slides )

Chongming Liu

Gradient Descent Maximizes the Margin of Homogeneous Neural Networks.
Kaifeng Lyu, Jian Li ( Link , PDF , Slides )

Kai Chen

Extracting computational mechanisms from neural data using low-rank RNNs.
Adrian Valente, Jonathan W. Pillow, Srdjan Ostojic ( Link , PDF , Slides )

Mingzhang Wang

Closed-form continuous-time neural networks.
Ramin Hasani, Mathias Lechner, Alexander Amini, Aaron Ray, Max Tschaikowski, Gerald TeschlLucas Liebenwein & Daniela Rus ( Link , PDF )

Xuexing Du

Rapid detection and recognition of whole brain activity in a freely behaving Caenorhabditis elegans.
Yuxiang Wu, Shang Wu, Xin Wang, Chengtian Lang, Quanshi Zhang, Quan Wen, Tianqi Xu ( Link , PDF , Slides )

Ziling Wang

Cell-type-specific population dynamics of diverse reward computations.
Emily L. Sylwestrak, YoungJu Jo, Sam Vesuna, Xiao Wang, Blake Holcomb, Rebecca H. Tien, Doo Kyung Kim, Lief Fenno, Charu Ramakrishnan, William E. Allen, Ritchie Chen, Krishna V. Shenoy, David Sussillo and Karl Deisseroth ( Link , PDF )

Bo Wang

Predictive learning as a network mechanism for extracting low-dimensional latent space representations.
Stefano Recanatesi, Matthew Farrell, Guillaume Lajoie, Sophie Deneve, Mattia Rigotti & Eric Shea-Brown ( Link , PDF )

Zhenyuan Jin

Spatialtemporal patterns of adaptation-induced slow oscillations in a whole brain model of slow-wave sleep.
Caglar Cakan, Cristiana Dimulescu, Liliia Khakimova, Daniela Obst, Agnes Flöel and Klaus Obermayer ( Link , PDF , Slides )

Jingcheng Shi

Flexible multitask computation in recurrent networks utilizes shared dynamical motifs.
Laura Driscoll, Krishna Shenoy, David Sussillo ( Link , PDF )

Zheng Wang

Task representations in neural networks trained to perform many cognitive tasks.
Guangyu Robert Yang, Madhura R. Joglekar, H. Francis Song, William T. Newsome, Xiao-Jing Wang ( Link , PDF , Slides )

Boran Yang

Functional network organization of the human brain.
Jonathan D.Power, Alexander L.Cohen, Steven M.Nelson, Gagan S.Wig, Kelly AnneBarnes, Jessica A.Church, Alecia C.Vogel, Timothy O.Laumann, Fran M.Miezin, Bradley L.Schlaggar, Steven E.Petersen ( Link , PDF , Slides )

Jingyang Ma

A synaptic learning rule for exploiting nonlinear dendritic computation.
Brendan A. Bicknell, Michael Ha€usser ( Link , PDF , Slides )

Chongming Liu

Learning Overparameterized Neural Networks via Stochastic Gradient Descent on Structured Data.
Yuanzhi Li, Yingyu Liang ( Link , PDF , Slides )

Kai Chen

Gradient-based learning drives robust representations in recurrent neural networks by balancing compression and expansion.
Matthew Farrell, Stefano Recanatesi, Timothy Moore, Guillaume Lajoie, Eric Shea-Brown ( Link , PDF , Slides )

Mingzhang Wang

Effects of Altered Excitation-Inhibition Balance on Decision Making in a Cortical Circuit Model.
Norman H. Lam, Thiago Borduqui, Jaime Hallak, Antonio Roque, Alan Anticevic, John H. Krystal, Xiao-Jing Wang, John D. Murray ( Link , PDF )

Xuexing Du

How do neurons increase their robustness to noise perturbations.
Multiple papers ( PDF1 , PDF2 )

Ziling Wang

Sequential and efficient neural-population coding of complex task information.
Sue Ann Koay, Adam S.Charles, Stephan Y.Thiberge, Carlos D.Brody, David W.Tank ( Link , PDF )

Bo Wang

The techniques of Noise Injection for neural network training.
Multiple papers

Zhenyuan Jin

Phase Diagram for Two-layer ReLU Neural Networks at Infinite-width Limit.
Tao Luo, Zhi-Qin John Xu, Zheng Ma, Yaoyu Zhang ( Link , PDF , Slides )

Jingcheng Shi

Meta-learning synaptic plasticity and memory addressing for continual familiarity detection.
Danil Tyulmankov, Guangyu Robert Yang, L.F. Abbott ( Link , PDF )

Zheng Wang

Backpropagation algorithms and Reservoir Computing in Recurrent Neural Networks for the forecasting of complex spatiotemporal dynamics.
P.R. Vlachas, J. Pathak, B.R. Hunt, T.P. Sapsis, M. Girvan, E. Ott, P. Koumoutsakos ( Link , PDF )

Boran Yang

Computational Modeling of EEG and fMRI Paradigms Indicates a Consistent Loss of Pyramidal Cell Synaptic Gain in Schizophrenia.
Rick A Adams, Dimitris Pinotsis, Konstantinos Tsirlis, Leonhardt Unruh, Aashna Mahajan, Ana Montero Horas, Laura Convertino, Ann Summerfelt, Hemalatha Sampath, Xiaoming Michael Du, Peter Kochunov, Jie Lisa Ji, Grega Repovs, John D Murray, Karl J Friston, L Elliot Hong, Alan Anticevic ( Link , PDF )

Chongming Liu

Neural network models of decision making.

Kai Chen

Emergent reliability in sensory cortical coding and inter-area communication.
Sadegh Ebrahimi, Jérôme Lecoq, Oleg Rumyantsev, Tugce Tasci, Yanping Zhang, Cristina Irimia, Jane Li, Surya Ganguli, Mark J. Schnitzer ( Link , PDF , Slides )

Zhenyuan Jin

Microscopic theory of intrinsic timescales in spiking neural networks.
Alexander van Meegen, Sacha J. van Albada ( Link , PDF , Slides )

Mingzhang Wang

Excitatory-inhibitory balance modulates the formation and dynamics of neuronal assemblies in cortical networks.
Sadra Sadeh, Claudia Clopath ( Link , PDF )

Xuexing Du

OpenWorm: overview and recent advances in integrative biological simulation of Caenorhabditis elegans.
Gopal P. Sarma, Chee Wai Lee, Tom Portegys, Vahid Ghayoomie, Travis Jacobs, Bradly Alicea, Matteo Cantarelli, Michael Currie, Richard C. Gerkin, Shane Gingell, Padraig Gleeson, Richard Gordon, Ramin M. Hasani, Giovanni Idili, Sergey Khayrulin, David Lung, Andrey Palyanov, Mark Watts, Stephen D. Larson ( Link , PDF )

Jingyang Ma

Dendritic Computing: Branching Deeper into Machine Learning.
Jyotibdha Acharya, Arindam Basu, Robert Legenstein, Thomas Limbacher, Panayiota Poirazi, Xundong Wu ( Link , PDF , Slides )

Bo Wang

Coding schemes and training methods of SNNs.

Ziling Wang

Learning prediction error neurons in a canonical interneuron circuit.
Loreen Hertäg, Henning Sprekeler ( Link , PDF , Slides )

Muhan Ma

[Project report] The large scale dynamical model of the macaque cortex.

Jingcheng Shi

'Activity-silent' working memory in prefrontal cortex: a dynamic coding framework.
Mark G. Stokes ( Link , PDF )

Chongming Liu

Backpropagation Neural Tree.
Varun Ojha, Giuseppe Nicosia ( Link , PDF , Slides )

Kai Chen

Tensor Analysis Reveals Distinct Population Structure that Parallels the Different Computational Roles of Areas M1 and V1.
Jeffrey S. Seely, Matthew T. Kaufman, Stephen I. Ryu, Krishna V. Shenoy, John P. Cunningham, Mark M. Churchland ( Link , PDF , Slides )

Zheng Wang

Reservoirs Learn to Learn.
Anand Subramoney, Franz Scherr, Wolfgang Maass ( Link , PDF , Slides )

Licheng Zou

A dopamine gradient controls access to distributed working memory in the large-scale monkey cortex.
Sean Froudist-Walsh, Daniel P. Bliss, Xingyu Ding, Lucija Rapan, Meiqi Niu, Kenneth Knoblauch, Karl Zilles, Henry Kennedy, Nicola Palomero-Gallagher, Xiao-Jing Wang ( Link , PDF )

Xuexing Du

Can we reverse-engineer the simple brain of a tiny worm?.
Jingyuan Jiang, Yifan Su, Ruilin Zhang, Haiwen Li, Louis Tao, Qiang Liu ( Link , PDF , Slides )

Bo Wang

A Long Short-Term Memory for AI Applications in Spike-based Neuromorphic Hardware.
Arjun Rao, Philipp Plank, Andreas Wild, Wolfgang Maass ( Link , PDF )

Chongming Liu

Review of deep learning: concepts, CNN architectures, challenges, applications, future directions.
Laith Alzubaidi, Jinglan Zhang, Amjad J. Humaidi, Ayad Al-Dujaili, Ye Duan, Omran Al-Shamma, J. Santamaría, Mohammed A. Fadhel, Muthana Al-Amidie, Laith Farhan ( Link , PDF , Slides )

Jingcheng Shi

[Project report] The study of working memory mechanisms based on recurrent neural networks.

Mingzhang Wang

Nonlinear stimulus representations in neural circuits with approximate excitatory-inhibitory balance.
Cody Baker, Vicky Zhu, Robert Rosenbaum ( Link , PDF )

Rong Chen

Spiking Graph Convolutional Networks.
Zulun Zhu, Jiaying Peng, Jintang Li, Liang Chen, Qi Yu, Siqiang Luo ( Link , PDF , Slides )

Ziling Wang

Deep brain stimulation in the subthalamic nucleus for Parkinson’s disease can restore dynamics of striatal networks.
Elie M. Adam, Emery N. Brown, Nancy Kopell, Michelle M. McCarthy ( Link , Slides )

Kai Chen

Parametric Control of Flexible Timing Through Low-Dimensional Neural Manifolds (2).
Manuel Beiran, Nicolas Meirhaeghe, Hansem Sohn, Mehrdad Jazayeri, Srdjan Ostojic ( Link , PDF , Slides )

Kai Chen

Parametric Control of Flexible Timing Through Low-Dimensional Neural Manifolds (1).
Manuel Beiran, Nicolas Meirhaeghe, Hansem Sohn, Mehrdad Jazayeri, Srdjan Ostojic ( Link , PDF , Slides )

Zhenyuan Jin

Dynamic models of large-scale brain activity.
Michael Breakspear ( Link , PDF )

Bo Wang

Learning to live with Dale's principle: ANNs with separate excitatory and inhibitory units.
Jonathan Cornford, Damjan Kalajdzievski, Marco Leite, Amélie Lamarquette Dimitri M. Kullmann, Blake Richards ( Link , PDF )

Xuexing Du

[Project report] Introduction to the neural circuit for locomotion in C.elegans.
( Slides )

Mingzhang Wang

Training dynamically balanced excitatory-inhibitory networks.
Alessandro Ingrosso, L. F. Abbott ( Link , PDF )

Jingyang Ma

Ultrafast Simulation of Large-Scale Neocortical Microcircuitry with Biophysically Realistic Neurons.
Viktor János Oláh, Nigel P Pedersen and Matthew JM Rowan ( Link , PDF , Slides )

Rong Chen

Multi-level Graph Convolutional Networks for Cross-platform Anchor Link Prediction.
Hongxu Chen, Hongzhi YIN, Xiangguo Sun, Tong Chen, Bogdan Gabrys, Katarzyna Musial ( Link , PDF , Slides )

Ziling Wang

Untangling stability and gain modulation in cortical circuits with multiple interneuron classes.
Hannah Bos, Anne-Marie Oswald, Brent Doiron ( Link , PDF , Slides )

Licheng Zou

Mechanisms of distributed working memory in a large-scale network of macaque neocortex.
Jorge F Mejias, Xiao-Jing Wang ( Link , PDF , Slides )

Kai Chen

Organizing recurrent network dynamics by task-computation to enable continual learning.
Lea Duncker, Laura Driscoll, Krishna V. Shenoy, Maneesh Sahani, David Sussillo ( Link , PDF , Slides )

Zheng Wang

A random matrix approach to neural networks.
Come Louart, Zhenyu Liao, Romain Couillet ( Link , PDF )

Muhan Ma

Macroscopic gradients of synaptic excitation and inhibition in the neocortex.
Xiao-Jing Wang ( Link , PDF )

Boran Yang

Sensory-Motor Cortices Shape Functional Connectivity Dynamics in the Human Brain.
Xiaolu Kong, Ru Kong, Csaba Orban, Peng Wang, Shaoshi Zhang, Kevin Anderson, Avram Holmes, John D. Murray, Gustavo Deco, Martijn van den Heuvel & B. T. Thomas Yeo ( Link , PDF , Slides )

Chongming Liu

Towards Provable Learning of Polynomial Neural Networks Using Low-Rank Matrix Estimation.
Soltani, Mohammadreza, Chinmay Hegde ( Link , PDF , Slides )

Jingcheng Shi

Circuit mechanisms for the maintenance and manipulation of information in working memory.
Nicolas Y. Masse, Guangyu R. Yang, H. Francis Song, Xiao-Jing Wang, David J. Freedman ( Link , PDF , Slides )

Rong Chen

The node-similarity distribution of complex networks and it's application in link prediction.
Cunlai Pu, Jie Li, Jian Wang, Tony Q.S. Quek ( Link , PDF , Slides )

Jingyang Ma

Avoiding catastrophe: active dendrites enable multi-task learning in dynamic environments.
Abhiram Iyer, Karan Grewal, Akash Velu, Lucas Oliveira Souza, Jeremy Forest, Subutai Ahmad ( Link , PDF , Slides )

Chongming Liu

Transmission trend of the COVID-19 pandemic predicted by dendritic neural regression.
Dong Minhui, Cheng Tang, Junkai Ji, Qiuzhen Lin, Ka-chun Wong ( Link , PDF , Slides )

Zheng Wang

Random Matrix Methods for Machine Learning: When Theory meets Applications.
Romain Couillet, Zhenyu Liao ( PDF )

Licheng Zou

Linking Connectivity, Dynamics, and Computations in Low-Rank Recurrent Neural Networks (2).
Francesca Mastrogiuseppe, Srdjan Ostojic ( Link , PDF , Slides )

Licheng Zou

Linking Connectivity, Dynamics, and Computations in Low-Rank Recurrent Neural Networks (1).
Francesca Mastrogiuseppe, Srdjan Ostojic ( Link , PDF , Slides )

Ziling Wang

The striatum organizes 3D behavior via moment-to-moment action selection.
Jeffrey E. Markowitz, Winthrop F. Gillis, Celia C. Beron, Shay Q. Neufeld, Keiramarie Robertson, Neha D. Bhagat, Ralph E. Peterson, Emalee Peterson, Minsuk Hyun, Scott W. Linderman, Bernardo L. Sabatini, Sandeep Robert Datta ( Link , PDF )

Mingzhang Wang

Larger GPU-accelerated brain simulations with procedural connectivity.
James C. Knight, Thomas Nowotny ( Link , PDF )

Kai Chen
( Summary )

The role of population structure in computations through neural dynamics.
Alexis Dubreuil, Adrian Valente, Manuel Beiran, Francesca Mastrogiuseppe, Srdjan Ostojic ( Link , PDF , Slides )

Xuexing Du

Analysis and applications of the Locally Competitive Algorithm.

Bo Wang

Self-backpropagation of synaptic modifications elevates the efficiency of spiking and artificial neural networks.
Tielin Zhang, Xiang Cheng, Shuncheng Jia, Mu-ming Poo, Yi Zeng, Bo Xu* ( Link , PDF )

Boran Yang

ReduNet: A White-box Deep Network from the Principle of Maximizing Rate Reduction.
Kwan Ho Ryan Chan, Yaodong Yu, Chong You, Haozhi Qi, John Wright, Yi Ma ( Link , PDF , Slides )

Jingcheng Shi

Task representations in neural networks trained to perform many cognitive tasks.
Guangyu Robert Yang, Madhura R. Joglekar, H. Francis Song, William T. Newsome, Xiao-Jing Wang ( Link , PDF , Slides )

Kai Chen
( Summary )

Context-dependent computation by recurrent dynamics in prefrontal cortex.
Valerio Mante*, David Sussillo*, Krishna V. Shenoy & William T. Newsome. ( Link , PDF , Slides )

Boran Yang

Biophysical Modeling of Large-Scale Brain Dynamics and Applications for Computational Psychiatry.
John D. Murray, Murat Demirtaş, and Alan Anticevic ( Link , PDF , Slides )

Kai Chen
( Summary )

Learning function from structure in neuromorphic networks.
Laura E. Suárez, Blake A. Richards, Guillaume Lajoie & Bratislav Misic ( Link , PDF , Slides )

Boran Yang

Graph neural fields: A framework for spatiotemporal dynamical models on the human connectome.
Marco Aqil, Selen Atasoy, Morten L. Kringelbach, Rikkert Hindriks ( Link , PDF , Slides )

Kai Chen
( Summary )

One Step Back, Two Steps Forward: Interference and Learning in Recurrent Neural Networks.
Chen Beer, Omri Barak ( Link , PDF , Slides )

Kai Chen
( Summary )

Universality and individuality in neural dynamics across large populations of recurrent networks.
Niru Maheswaranathan, Alex Williams, Matthew Golub, Surya Ganguli, David Sussillo ( Link , PDF , Slides )

Kai Chen
( Summary )

Generating Coherent Patterns of Activity from Chaotic Neural Networks.
David Sussillo, L.F.Abbott ( Link , PDF , Slides )