Ila Fiete

Ila Fiete

Massachusetts Institute of Technology

H-index: 29

North America-United States

About Ila Fiete

Ila Fiete, With an exceptional h-index of 29 and a recent h-index of 27 (since 2020), a distinguished researcher at Massachusetts Institute of Technology, specializes in the field of Theoretical neuroscience, Computational neuroscience, Neural coding, Population coding, Memory.

His recent articles reflect a diverse array of research interests and contributions to the field:

Bridging Associative Memory and Probabilistic Modeling

Self-supervised learning of representations for space generates multi-modular grid cells

Beyond geometry: Comparing the temporal structure of computation in neural circuits with dynamical similarity analysis

Do Diffusion Models Learn Semantically Meaningful and Efficient Representations?

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

Grid Cells in Cognition: Mechanisms and Function

Resampling-free Particle Filters in High-dimensions

The Physics and Mathematics of the Brain's Memory and Spatial Navigation Circuits

Ila Fiete Information

University

Position

Professor of Brain and Cognitive Sciences

Citations(all)

4647

Citations(since 2020)

2823

Cited By

2768

hIndex(all)

29

hIndex(since 2020)

27

i10Index(all)

43

i10Index(since 2020)

38

Email

University Profile Page

Google Scholar

Ila Fiete Skills & Research Interests

Theoretical neuroscience

Computational neuroscience

Neural coding

Population coding

Memory

Top articles of Ila Fiete

Self-supervised learning of representations for space generates multi-modular grid cells

Advances in Neural Information Processing Systems

2024/2/13

Beyond geometry: Comparing the temporal structure of computation in neural circuits with dynamical similarity analysis

Advances in Neural Information Processing Systems

2024/2/13

Leo Kozachkov
Leo Kozachkov

H-Index: 2

Ila Fiete
Ila Fiete

H-Index: 19

Do Diffusion Models Learn Semantically Meaningful and Efficient Representations?

arXiv preprint arXiv:2402.03305

2024/2/5

Ziming Liu
Ziming Liu

H-Index: 15

Ila Fiete
Ila Fiete

H-Index: 19

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

bioRxiv

2024

Grid Cells in Cognition: Mechanisms and Function

2024/4/29

Resampling-free Particle Filters in High-dimensions

arXiv preprint arXiv:2404.13698

2024/4/21

The Physics and Mathematics of the Brain's Memory and Spatial Navigation Circuits

Bulletin of the American Physical Society

2024/3/5

Ila Fiete
Ila Fiete

H-Index: 19

Primate neocortex performs balanced sensory amplification

Neuron

2024/2/21

Ila Fiete
Ila Fiete

H-Index: 19

High-capacity flexible hippocampal associative and episodic memory enabled by prestructured''spatial''representations

bioRxiv

2023

Propofol anesthesia destabilizes neural dynamics across cortex

bioRxiv

2023

Optimizing protein fitness using Bi-level Gibbs sampling with Graph-based Smoothing

2023/12/12

Disentangling Fact from Grid Cell Fiction in Trained Deep Path Integrators

arXiv preprint arXiv:2312.03954

2023/12/6

Growing Brains in Recurrent Neural Networks for Multiple Cognitive Tasks

2023/11/29

Testing assumptions underlying a unified theory for the origin of grid cells

arXiv preprint arXiv:2311.16295

2023/11/27

Associative Memory Under the Probabilistic Lens: Improved Transformers & Dynamic Memory Creation

2023/11/26

Generalizable Relational Inference with Cognitive Maps in a Hippocampal Model and in Primates

2023/11/26

Divergence at the interpolation threshold: Identifying, interpreting & ablating the sources of a deep learning puzzle

2023/11/7

Neuro-Inspired Fragmentation and Recall to Overcome Catastrophic Forgetting in Curiosity

arXiv preprint arXiv:2310.17537

2023/10/26

Towards Exact Computation of Inductive Bias

2023/10/13

See List of Professors in Ila Fiete University(Massachusetts Institute of Technology)

Co-Authors

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