|
Presenting Author |
Abstract Title |
Talk/Poster |
|
Adeli Jelodar, Hossein |
A brain-inspired object-based attention network for multi-object recognition and visual reasoning |
talk |
|
Ahn, Seoyoung |
Reconstruction-as-feedback serves as an effective attention mechanism to increase recognition robustness |
talk |
|
Aldarondo, Diego E |
A virtual rodent predicts the structure of neural activity across natural behavior |
talk |
|
An, Su Jin |
Learning state-space uncertainty, but not value uncertainty, is sufficient for metacognitive exploration |
poster |
|
Aqrabawi, Afif |
Knowledge is abstracted across overlapping memory engrams |
poster |
|
Aquino, Tomas |
Neurons in human pre-supplementary motor area encode key computations for value-based choice |
poster |
|
Barabasi, Daniel L |
Emergence of functional circuits in the absence of neural activity |
talk |
|
Barto, Andrew |
Can machine learning tell us anything about the neural basis of learning? |
talk |
|
Bennett, James |
Learning and forgetting from the perspective of control |
poster |
|
Bhattasali, Nikhil |
Neural circuit architectural priors for embodied control |
talk |
|
Biderman, Dan |
Lightning Pose—A suite of semi-supervised networks for robust video tracking with minimal manual annotation |
poster |
|
Bouttier, Vincent |
Better inferences by decorrelating information with circular belief propagation |
poster |
|
Bricken, Trenton |
Sparse distributed memory, top-K networks, and relations to deep learning |
poster |
|
Burger, Thomas |
Active dendrites support reliable spiking computations |
poster |
|
Can, Tankut |
Emergence of memory manifolds |
talk |
|
Chandra, Sarthak |
Architectural biases for computer vision from developmental processes for the visual cortex |
poster |
|
Chavlis, Spyridon |
Empowering artificial neural networks by adding biological dendrites |
poster |
|
Chen, Chao B |
A topological profiling of neural networks and its application to detection of backdoor attacks |
poster |
|
Chen, Guozhang |
Multiplexing of robust visual processing capabilities by a data-based cortical microcircuit model |
poster |
|
Chen, Yusi |
Hippocampus as a generative circuit for predictive coding of future sequences |
poster |
|
Conwell, Colin |
Computational evidence for implicit embedding of visually evoked affect in feedforward, purely perceptual machines |
poster |
|
Coon, William G |
Continual learning with three sleep components—NREM, REM, and synaptic downscaling |
poster |
|
Czegel, Daniel |
Darwinian neurodynamics |
poster |
|
De Silva, Laknath A |
Kernel density networks |
poster |
|
Dey, Jayanta |
Out-of-distribution detection using kernel density polytopes |
poster |
|
Dowling, Matthew |
Dimension-free embedding for meta-learning latent dynamics |
poster |
|
Eckmann, Samuel |
Unsupervised competitive Hebbian learning explains the emergence of functional recurrent E-I networks |
poster |
|
Ehrlich, David A |
How difficult is it to access information in neural networks? |
poster |
|
Fehrman, Christof |
The use of biologically realistic spectro-temporal receptive fields produces noise-invariant spiking neural networks |
poster |
|
Ferreira Castro, André |
Mechanistic model of effective pattern separation in a memory and learning circuit |
poster |
|
Gardner, Daniel |
What do neural circuits compute? How? What should AI emulate? |
talk |
|
Garibbo, Michele |
What deep reinforcement learning tells us about human motor learning and vice-versa |
poster |
|
Genkin, Alexander |
Biological learning of identity preserving transformations |
poster |
|
George, Dileep |
Space is a sequence—A unifying model for spatial, temporal, and relational abstraction in hippocampal cognitive maps |
talk |
|
Gershman, Sam |
Amortized inference in mind and brain |
talk |
|
Golkar, Siavash |
A neuron as an Eigen-solver of time-series dynamics |
poster |
|
Greedy, William H |
Single-phase and efficient deep learning in cortico-cortical networks |
poster |
|
Gurbuz, Mustafa B |
NISPA—Neuro-inspired stability-plasticity adaptation for continual learning in sparse networks |
poster |
|
Haider, Paul |
Latent equilibrium—A unified learning theory for arbitrarily fast computation with arbitrarily slow neurons |
poster |
|
Han, Yena |
Training as a confound—Insights into biological and artificial model comparisons with untrained networks |
poster |
|
Holzhausen, Konstantin |
Robustness of neural networks trained with biologically inspired local learning rules |
poster |
|
How, Javier J |
Larval zebrafish demonstrate transfer learning |
poster |
|
Humphries, Joseph |
Selective attention using a temporal difference method for uncertainty learning in a valence-partitioned reinforcement learning framework |
poster |
|
Ito, Takuya |
Multi-task representations in human cortex transform along a sensory-to-motor hierarchy |
poster |
|
Ivanitskiy, Michael I |
Robustness in reinforcement learning through unconstrained dreaming |
poster |
|
Janik, Romuald A |
The visual brain seen through the lens of a deep neural network |
poster |
|
Kepple, Daniel R |
Curriculum learning as a tool to uncover learning principles in the brain |
poster |
|
Kerg, Giancarlo |
On neural architecture inductive biases for relational tasks |
talk |
|
Kim, Christopher |
Transfer of learned neural dynamics through unstructured connectivity in strongly coupled spiking networks |
poster |
|
Kohan, Adam |
Forward learning for spiking neural networks |
talk |
|
Konkle, Talia |
Emergence of object topography motifs from self-organization of a unified object space |
poster |
|
Kornblith, Simon |
Understanding artificial neural networks through their hidden representations |
talk |
|
Kosoy, Eliza |
Learning causal overhypotheses through exploration in children and computational models |
poster |
|
Koulakov, Alexei |
Genomic bottleneck approach to faster learning |
talk |
|
Kowadlo, Gideon |
Why do brains have 2 hemispheres and would it improve deep learning?—A study with left and right neural networks |
poster |
|
Kudithiipudi, Dhireesha |
Exploring complex synapses for task-agnostic continual learning accelerators |
poster |
|
Lafond-Mercier, Raphael |
Networks of adaptive neurons used in spatial learning |
poster |
|
Lepperod, Mikkel E |
Manifold propagation through recurrent neural networks |
poster |
|
Liang, Tong |
Evolution of innate behavioral strategies through competitive population dynamics |
poster |
|
Libedinsky, Camilo |
A transient subspace for eye-movement initiation in the primate prefrontal cortex |
poster |
|
Lindsey, Jack W |
Computational principles of systems memory consolidation |
poster |
|
Lindsey, Jack W |
Incorporating prior knowledge in reinforcement learning—A basal ganglia-inspired model |
poster |
|
Lipshutz, David |
Reverse engineering early visual processing using fly connectomics data |
poster |
|
Liu, Yuhan Helena |
Beyond accuracy—Robustness and generalization properties of biologically plausible learning rules |
talk |
|
Logiaco, Laureline |
Brain insights improve RNNs’ accuracy and robustness for hierarchical control of continually learned autonomous motor motifs |
poster |
|
Luna, Raúl |
An intrinsically nonlinear motion model predicts different visual phenomena that cannot be explained by classical energy models without incorporating additional stages |
poster |
|
Maass, Wolfgang |
How does structure induce function in cortical microcircuits? |
talk |
|
Makino, Hiroshi |
Arithmetic value representation for hierarchical behavior composition |
poster |
|
Mansinghka, Vikash |
Brain computation as fast spiking neural Monte Carlo inference in probabilistic programs |
poster |
|
Marschall, Owen E |
Meta-dynamics of recurrent neural networks during learning—General patterns and algorithmic signatures |
poster |
|
Masset, Paul |
A distributional code for learning across timescales in dopamine-based reinforcement learning |
poster |
|
Meulemans, Alexander |
The least-control principle for learning |
poster |
|
Mollard, Sami |
Recurrent neural networks for learning multi-step visual routines with reinforcement learning |
talk |
|
Moore, Jasmine |
Simulating neurodegeneration with noise in convolutional neural networks |
poster |
|
Morales, Guillermo B |
"Smooth" input representations in ANNs stem from critical dynamics. |
poster |
|
Nagy, David G |
Episodic memory and generative replay for online structure learning |
poster |
|
Nejatbakhsh, Amin |
Controlled switching linear dynamics—A framework for causal interrogation of neural networks |
poster |
|
Nguyen, Tri M |
Structured connectivity in the cerebellum enables noise-resilient neural network |
poster |
|
Nowak, Aleksandra I |
Analyzing neural networks based on random graphs |
poster |
|
Orban, Gergo |
Visual cortex-inspired hierarchical deep generative model architecture of natural images |
talk |
|
Panda, Priyadarshini |
Rethinking the role of ANN-oriented techniques for spiking neural networks |
talk |
|
Patel, Devdhar |
Robust control in real time reinforcement learning using adaptive response times |
poster |
|
Pedamonti, Dabal |
Hippocampal networks support continual learning and generalisation |
poster |
|
Pedigo, Benjamin D |
Towards statistical comparative connectomics—A case study on the bilateral symmetry of an insect brain connectome |
poster |
|
Pemberton, Joseph O |
A cerebellar solution to cortical temporal credit assignment |
poster |
|
Pemberton, Joseph O |
Cortico-cerebellar networks as decoupling neural interfaces |
poster |
|
Pettersen, Markus |
Studying emergent place cells and remapping in a recurrent neural network model |
poster |
|
Pettine, Warren W |
Human latent-state generalization through prototype learning with discriminative attention |
poster |
|
Piera Lindez, Pau |
Adversarial and variational autoencoders improve metagenomics binning |
poster |
|
Pir Hayatifard, Delaram |
Understanding the olfactory code in awake mice |
poster |
|
Podolak, Igor T |
Neuron ensembles in SNN networks |
poster |
|
Pouget, Alexandre |
Talking nets—A neural model for generalization with natural language instructions |
talk |
|
Raghavan, Guruprasad |
Engineering flexible machine learning systems inspired by biological intelligence |
talk |
|
Raj, Rishabh |
RCNet—A biologically inspired network for unsupervised capturing of input redundancy and robust object representation |
poster |
|
Rajan, Kanaka |
Curriculum learning to probe learning principles in biological and artificial networks |
talk |
|
Rawat, Shivang |
Resonance in stochastic dynamical system models of cortical circuits |
poster |
|
Robinson, Brian S |
Angular path integration with a ring attractor composed of synapse-constrained motifs |
poster |
|
Robinson, Brian S |
Dimensionality reduction and point attractor dynamics in a recurrent connectome-constrained insect learning center model |
poster |
|
Roelfsema, Pieter |
BrainProp—Solving the credit assignment problem in the brain |
talk |
|
Rogge, Frederik |
On environmental sensitivity of the successor representation |
poster |
|
Rungratsameetaweemana, Nuttida |
Flexible hierarchical computation in task-driven information processing |
poster |
|
Safron, Adam |
Dream to explore—5-HT2a as adaptive temperature parameter for sophisticated affective inference |
poster |
|
Sainath, Pravish |
Recurrent neural networks trained on N-back task reveal the functional activity of visual working memory |
poster |
|
Sands, Paul |
Reward is not enough—A valence-partitioned reinforcement learning framework for dopamine-based control of human choice and affect dynamics |
poster |
|
Schaeffer, Rylan |
Streaming inference for nonstationary clustering |
poster |
|
Schapiro, Anna |
Learning representations of specifics and generalities over time |
talk |
|
Schneider, Andreas C |
Infomorphic networks—Locally learning neural networks derived from partial information decomposition |
poster |
|
Schoyen, Vemund S |
Place and grid cell navigation in multiple environments |
poster |
|
Schwartz, Alexander |
Training recurrent activity in sparsely connected spiking neural networks |
poster |
|
Sedigh-Sarvestani, Madineh |
What we lose by modeling the visual system without topographic maps |
talk |
|
Segert, Simon |
Function learning and extrapolation via the principle of maximum entropy |
poster |
|
Sharma, Sugandha |
Content addressable memory without catastrophic forgetting by heteroassociation with a fixed scaffold |
talk |
|
Shin, Jong M |
Novel artificially intelligent machine manifests human-like behavior |
poster |
|
Shuvaev, Sergey |
A normative theory of social hierarchy |
poster |
|
Tamari, Ronen |
Evaluating situation modelling in reading comprehension in humans and machines |
poster |
|
Tesileanu, Tiberiu |
A more realistic predictive coding model of cortical hierarchy |
poster |
|
Trattner, Jonathan |
Parallel processing of temporal-difference prediction errors for emotionally evocative stimuli predicts human choice behavior and associated subjective feelings |
poster |
|
Tresp, Volker |
A unified theory of perception, memory and semantic decoding |
poster |
|
Tsodyks, Misha |
Human memory—Theory vs experiments |
talk |
|
Tuladhar, Anup |
Changes in internal representational structure within a degenerating neural network |
poster |
|
Turcu, Denis |
Analysis of electrosensing using an active electrolocation framework |
poster |
|
Turcu, Denis |
Numerical cognition does not guarantee arithmetic ability |
poster |
|
van den Berg, Alexandra R |
Biologically plausible gated recurrent neural networks for working memory and learning-to-learn |
poster |
|
Virgili, Samuele |
Mind the gradient—Context-dependent selectivity to natural images in the retina revealed with a novel perturbative approach |
poster |
|
Vo, Vy A |
Using neuroscience to improve long-range sequential processing in language models |
poster |
|
Westerberg, Jacob A |
Attentional priority computed and precisely modified in sensory cortex |
poster |
|
Wu, Yujie |
Brain-inspired global-local learning for versatile learning scenarios |
poster |
|
Xie, Marjorie |
Task-dependent optimal representations in cerebellum-like networks |
poster |
|
Xie, Yudi |
Models of flexible working memory with naturalistic stimuli |
poster |
|
Xu, Haoyin |
Simplest streaming trees |
poster |
|
Yamashiro, Kotaro |
Deep learning-based decoding of surface textures from rat somatosensory cortical activity |
poster |
|
Yin, Yijie |
Stereotypy of network architecture of comprehensive synapse-resolution connectomes of //Drosophila melanogaster// |
poster |
|
Yiu, Eunice |
Symmetry preference in 3D object completion |
talk |
|
Yu, Yiyi |
A similarity neuron network with hubs—Underlying functional circuit organization of mouse visual cortex |
poster |
|
Zenke, Friedemann |
Information processing with artificial spiking neural networks |
talk |
|
Zhang, Ruiyi |
Inductive bias of neural architectures for spatial navigation |
poster |
|
Zylerberg, Joel |
Photoreceptor biophysics enable deep learning models to generalize across light levels |
poster |