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Workshop
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Identifiable attribution maps using regularized contrastive learning
Steffen Schneider · Rodrigo González Laiz · Markus Frey · Mackenzie Mathis
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Workshop
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Attention for Causal Relationship Discovery from Biological Neural Dynamics
Ziyu Lu · Anika Tabassum · Shruti Kulkarni · Lu Mi · Nathan Kutz · Eric Shea-Brown · Seung-Hwan Lim
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Workshop
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Unsupervised Representation Learning of Brain Activity via Bridging Voxel Activity and Functional Connectivity
Ali Behrouz · Parsa Delavari · Farnoosh Hashemi
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Workshop
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Representational constraints underlying similarity between task-optimized neural systems
Tahereh Toosi
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Workshop
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Sparse Modern Hopfield Networks
André Martins · Vlad Niculae · Daniel McNamee
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Workshop
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Learning Temporal Higher-order Patterns to Detect Anomalous Brain Activity
Ali Behrouz · Farnoosh Hashemi
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Workshop
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Fri 12:40
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States as goal-directed concepts: an epistemic approach to state-representation learning
Nadav Amir · Yael Niv · Angela Langdon
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Workshop
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Rapid Learning without Catastrophic Forgetting in the Morris Water Maze
Raymond Wang · Jaedong Hwang · Akhilan Boopathy · Ila Fiete
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Workshop
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Generalizable Relational Inference with Cognitive Maps in a Hippocampal Model and in Primates
Jaedong Hwang · Sujaya Neupane · Mehrdad Jazayeri · Ila Fiete
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Workshop
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Neuro-Inspired Fragmentation and Recall to Overcome Catastrophic Forgetting in Curiosity
Jaedong Hwang · Zhang-Wei Hong · Eric Chen · Akhilan Boopathy · Pulkit Agrawal · Ila Fiete
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Workshop
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Learning Temporal Higher-order Patterns to Detect Anomalous Brain Activity
Ali Behrouz · Farnoosh Hashemi
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Workshop
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A General Method for Testing Bayesian Models using Neural Data
Gabor Lengyel · Sabyasachi Shivkumar · Ralf Haefner
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