I. Fiete

发表

Model of birdsong learning based on gradient estimation by dynamic perturbation of neural conductances.

H. Seung, M. Fee, I. Fiete, 2007, Journal of neurophysiology.

A Map-like Micro-Organization of Grid Cells in the Medial Entorhinal Cortex

D. Tank, A. Kinkhabwala, J. Gauthier, 2018, Cell.

Specific evidence of low-dimensional continuous attractor dynamics in grid cells

C. Barry, R. Hayman, N. Burgess, 2013, Nature Neuroscience.

Spike-Time-Dependent Plasticity and Heterosynaptic Competition Organize Networks to Produce Long Scale-Free Sequences of Neural Activity

Richard Hans Robert Hahnloser, W. Senn, I. Fiete, 2010, Neuron.

Gradient learning in spiking neural networks by dynamic perturbation of conductances.

Ila R Fiete, H Sebastian Seung, H. Seung, 2006, Physical review letters.

A Model of Grid Cell Development through Spatial Exploration and Spike Time-Dependent Plasticity

I. Fiete, John Widloski, 2014, Neuron.

Bias in Human Path Integration Is Predicted by Properties of Grid Cells

Timothy P. McNamara, Jonathan W. Kelly, Qiliang He, 2015, Current Biology.

Grid Cell Responses in 1D Environments Assessed as Slices through a 2D Lattice

KiJung Yoon, David W. Tank, Amina A. Kinkhabwala, 2016, Neuron.

Superlinear Precision and Memory in Simple Population Codes

I. Fiete, D. Schwab, Jimmy H. J. Kim, 2020, 2008.00629.

A Model of Grid Cell Development through Spatial Exploration and Spike Time-Dependent Plasticity

I. Fiete, John Widloski, 2014, Neuron.

Winning the lottery with neurobiology: faster learning on many cognitive tasks with ﬁxed sparse RNNs

I. Fiete, Sarthak Chandra, Mikail Khona, 2022 .

Streaming Inference for Infinite Non-Stationary Clustering

Scott W. Linderman, Gabrielle K. Liu, I. Fiete, 2022, ArXiv.

Content addressable memory without catastrophic forgetting by heteroassociation with a fixed scaffold

I. Fiete, Sarthak Chandra, Sugandha Sharma, 2022, ICML.

How to Train Your Wide Neural Network Without Backprop: An Input-Weight Alignment Perspective

I. Fiete, Akhilan Boopathy, 2021, ICML.

See and Copy: Generation of complex compositional movements from modular and geometric RNN representations

I. Fiete, Sarthak Chandra, Mikail Khona, 2022, 2210.02521.

No Free Lunch from Deep Learning in Neuroscience: A Case Study through Models of the Entorhinal-Hippocampal Circuit

I. Fiete, Mikail Khona, Rylan Schaeffer, 2023, bioRxiv.

Neurotensin orchestrates valence assignment in the amygdala

K. Tye, I. Fiete, K. Ressler, 2022, Nature.

Efficient Inference in Structured Spaces

M. Wilson, I. Fiete, Honi Sanders, 2020, Cell.

Streaming Inference for Infinite Feature Models

Gabrielle K. Liu, I. Fiete, Yilun Du, 2022, ICML.

Vector production via mental navigation in the entorhinal cortex

I. Fiete, M. Jazayeri, Sujaya Neupane, 2022, bioRxiv.

Emergence of dynamically reconfigurable hippocampal responses by learning to perform probabilistic spatial reasoning

Ingmar Kanitscheider, Ila R. Fiete, I. Fiete, 2017, bioRxiv.

Attractor and integrator networks in the brain

I. Fiete, Mikail Khona, 2021, Nature Reviews Neuroscience.

Computational principles of memory

Rishidev Chaudhuri, Ila Fiete, I. Fiete, 2016, Nature Neuroscience.

Learning and coding in biological neural networks

Ila Rani Fiete, I. Fiete, 2003 .

The intrinsic attractor manifold and population dynamics of a canonical cognitive circuit across waking and sleep

Rishidev Chaudhuri, Biraj Pandey, Adrien Peyrache, 2019, Nature Neuroscience.

Primate neocortex performs balanced sensory amplification

Nicholas J. Priebe, N. Priebe, B. Zemelman, 2022, bioRxiv.

How does the brain solve the computational problems of spatial navigation

Ila R. Fiete, John Widloski, I. Fiete, 2014 .

The Mind of a Mouse

Bruce R. Rosen, Terrence J. Sejnowski, Yann LeCun, 2020, Cell.

Fundamental limits on persistent activity in networks of noisy neurons

Yoram Burak, Ila R. Fiete, I. Fiete, 2012, Proceedings of the National Academy of Sciences.

Reverse-engineering Recurrent Neural Network solutions to a hierarchical inference task for mice

Leenoy Meshulam, Rylan Schaeffer, Mikail Khona, 2020, bioRxiv.

Accurate Path Integration in Continuous Attractor Network Models of Grid Cells

Yoram Burak, Ila R. Fiete, I. Fiete, 2008, PLoS Comput. Biol..

Place-cell capacity and volatility with grid-like inputs

I. Fiete, Thibaud Taillefumier, M. Y. Yim, 2021, eLife.

Where can a place cell put its fields? Let us count the ways

Man Yi Yim, Lorenzo Sadun, Ila R. Fiete, 2019, bioRxiv.

Training recurrent networks to generate hypotheses about how the brain solves hard navigation problems

Ingmar Kanitscheider, Ila Fiete, I. Fiete, 2016, NIPS.

Dynamic shift-map coding with side information at the decoder

Sriram Vishwanath, Onur Ozan Koyluoglu, Yongseok Yoo, 2012, 2012 50th Annual Allerton Conference on Communication, Control, and Computing (Allerton).

Grid cells: The position code, neural network models of activity, and the problem of learning

Ila R Fiete, Yoram Burak, Peter E Welinder, 2008, Hippocampus.

What Grid Cells Convey about Rat Location

Ila R Fiete, Yoram Burak, Ted Brookings, 2008, The Journal of Neuroscience.

Fragmented Spatial Maps: State Abstraction and Efficient Planning from Surprisal

L. Kaelbling, Tomas Lozano-Perez, I. Fiete, 2021 .

Systematic errors in connectivity inferred from activity in strongly recurrent networks

I. Fiete, Abhranil Das, 2020, Nature Neuroscience.

Map Induction: Compositional spatial submap learning for efficient exploration in novel environments

J. Tenenbaum, I. Fiete, Aidan Curtis, 2021, ICLR.

Cortical ensembles orchestrate social competition through hypothalamic outputs

Rachel R. Rock, Deryn O LeDuke, K. Tye, 2022, Nature.

Grid cell co-activity patterns during sleep reflect spatial overlap of grid fields during active behaviors

Ila R Fiete, John B. Trimper, Sean G Trettel, 2017, Nature Neuroscience.

Temporal sparseness of the premotor drive is important for rapid learning in a neural network model of birdsong.

Ila R Fiete, Richard H R Hahnloser, Michale S Fee, 2004, Journal of neurophysiology.

Testing Odor Response Stereotypy in the Drosophila Mushroom Body

Gilles Laurent, Ila Fiete, Mala Murthy, 2008, Neuron.

Bipartite expander Hopfield networks as self-decoding high-capacity error correcting codes

Rishidev Chaudhuri, Ila R. Fiete, I. Fiete, 2019, NeurIPS.

Efficient and flexible representation of higher-dimensional cognitive variables with grid cells

Mirko Klukas, Marcus Lewis, Ila Fiete, 2020, PLoS Comput. Biol..

Kernel RNN Learning (KeRNL)

Ingmar Kanitscheider, Ila R. Fiete, Christopher Roth, 2018, ICLR.

Fundamental bound on the persistence and capacity of short-term memory stored as graded persistent activity

Onur Ozan Koyluoglu, Ila R Fiete, Masud Husain, 2017, eLife.

Fragmented Spatial Maps from Surprisal: State Abstraction and Efficient Planning

L. Kaelbling, Tomas Lozano-Perez, I. Fiete, 2021, bioRxiv.

Making our way through the world: Towards a functional understanding of the brain's spatial circuits

Ila R. Fiete, Ingmar Kanitscheider, I. Fiete, 2017 .

Grid cell co-activity patterns during sleep reflect spatial overlap of grid fields during active behaviors

John B. Trimper, Sean G. Trettel, I. Fiete, 2017, bioRxiv.

Grid cells generate an analog error-correcting code for singularly precise neural computation

Ila Fiete, Sameet Sreenivasan, I. Fiete, 2011, Nature Neuroscience.

Sources of path integration error in young and aging humans

Thomas Wolbers, Ila Fiete, Ingmar Kanitscheider, 2018, bioRxiv.

Beyond Geometry: Comparing the Temporal Structure of Computation in Neural Circuits with Dynamical Similarity Analysis

I. Fiete, L. Kozachkov, Adam Eisen, 2023, 2306.10168.

Birdsong Learning

I. Fiete, 2011 .

Systematic errors in connectivity inferred from activity in strongly recurrent networks

Abhranil Das, Ila R. Fiete, I. Fiete, 2020, Nature neuroscience.

A Brain-Wide Map of Neural Activity during Complex Behaviour

Julia M. Huntenburg, Tatiana A. Engel, Eric E. J. DeWitt, 2023, bioRxiv.

Brain-wide representations of prior information in mouse decision-making

Julia M. Huntenburg, Jonathan W. Pillow, Eric E. J. DeWitt, 2023, bioRxiv.

A cortical-hypothalamic circuit decodes social rank and promotes dominance behavior

Rachel R. Rock, K. Tye, I. Fiete, 2020 .

Robust parallel decision-making in neural circuits with nonlinear inhibition

Ila R Fiete, Rishidev Chaudhuri, Birgit Kriener, 2019, Proceedings of the National Academy of Sciences.

How fast is neural winner-take-all when deciding between many options?

Rishidev Chaudhuri, Birgit Kriener, Ila R. Fiete, 2017, bioRxiv.

Gradient-trained Weights in Wide Neural Networks Align Layerwise to Error-scaled Input Correlations pdf

Ila Fiete, Akhilan Boopathy, I. Fiete, 2021, ArXiv.

Neuron NeuroView An International Laboratory for Systems and Computational Neuroscience

Kenneth D. Harris, Surya Ganguli, Peter E. Latham, 2018 .

Spatial reasoning via recurrent neural dynamics in mouse retrosplenial cortex

Mark T. Harnett, I. Fiete, J. Newman, 2022, bioRxiv.

Double Descent Demystified: Identifying, Interpreting & Ablating the Sources of a Deep Learning Puzzle

I. Fiete, O. Koyejo, J. Rocks, 2023, ArXiv.

Model-agnostic Measure of Generalization Difficulty

I. Fiete, Akhilan Boopathy, Kevin Liu, 2023, International Conference on Machine Learning.

Grid Cell-Inspired Fragmentation and Recall for Efficient Map Building

Pulkit Agrawal, I. Fiete, Zhang-Wei Hong, 2023, 2307.05793.

Associative content-addressable networks with exponentially many robust stable states pdf

Rishidev Chaudhuri, Ila Fiete, I. Fiete, 2017, ArXiv.

Emergence of robust global modules from local interactions and smooth gradients

I. Fiete, Sarthak Chandra, Mikail Khona, 2021, bioRxiv.

Do We Understand the Emergent Dynamics of Grid Cell Activity?

Yoram Burak, Ila Fiete, I. Fiete, 2006, The Journal of Neuroscience.

An International Laboratory for Systems and Computational Neuroscience

Jonathan W. Pillow, Ilana B. Witten, Larry F. Dora E. Matteo Anne K. Yang Peter Sophie Ila Su Abbott Angelaki Carandini Churchland Dan Da, 2017, Neuron.

A structured scaffold underlies activity in the hippocampus

Albert K Lee, I. Fiete, Thibaud Taillefumier, 2021, bioRxiv.

Beyond Geometry: Comparing the Temporal Structure of Computation in Neural Circuits with Dynamical Similarity Analysis

I. Fiete, L. Kozachkov, Adam Eisen, 2023, 2306.10168.

Brain-wide representations of prior information in mouse decision-making

Julia M. Huntenburg, Tatiana A. Engel, Jonathan W. Pillow, 2023, bioRxiv.

Neural network models of birdsong production , learning , and coding

H. Sebastian Seung, Ila R. Fiete, H. Seung, 2007 .

The intrinsic attractor manifold and population dynamics of a canonical cognitive circuit across waking and sleep

A. Peyrache, I. Fiete, Biraj Pandey, 2019, Nature Neuroscience.

The population dynamics of a canonical cognitive circuit

Rishidev Chaudhuri, Berk Gercek, Biraj Pandey, 2019, bioRxiv.

Systematic errors in connectivity inferred from activity in strongly coupled recurrent circuits

Ila R. Fiete, Abhranil Das, I. Fiete, 2019, bioRxiv.

Inferring circuit mechanisms from sparse neural recording and global perturbation in grid cells

Ila R Fiete, John Widloski, Michael P Marder, 2018, eLife.

Winning the Lottery With Neural Connectivity Constraints: Faster Learning Across Cognitive Tasks With Spatially Constrained Sparse RNNs

I. Fiete, Sarthak Chandra, Mikail Khona, 2022, Neural Computation.

Growing Brains: Co-emergence of Anatomical and Functional Modularity in Recurrent Neural Networks

I. Fiete, Ziming Liu, Mikail Khona, 2023, ArXiv.

Testing Odor Response Stereotypy in the Drosophila Mushroom Body

G. Laurent, I. Fiete, Mala Murthy, 2008, Neuron.

Beyond Geometry: Comparing the Temporal Structure of Computation in Neural Circuits with Dynamical Similarity Analysis

I. Fiete, L. Kozachkov, Adam Eisen, 2023, ArXiv.

Self-Supervised Learning of Representations for Space Generates Multi-Modular Grid Cells

I. Fiete, Sanmi Koyejo, Mikail Khona, 2023, ArXiv.

Propofol anesthesia destabilizes neural dynamics across cortex

I. Fiete, S. Brincat, L. Kozachkov, 2023, bioRxiv.

Streaming Inference for Infinite Non-Stationary Clustering

Scott W. Linderman, Gabrielle K. Liu, I. Fiete, 2022, CoLLAs.

Grid cells generate an analog error-correcting code for singularly precise neural computation

I. Fiete, S. Sreenivasan, 2011, Nature Neuroscience.

Self-organized emergence of modularity, hierarchy, and mirror reversals from competitive synaptic growth in a developmental model of the visual pathway

Talia Konkle, I. Fiete, Mikail Khona, 2024, bioRxiv.