Comparing the Temporal Structure of Computation in Neural Circuits ...
Comparing the Temporal Structure of Computation in Neural Circuits ...
Title:Beyond Geometry: Comparing the Temporal Structure of Computation in Neural Circuits with Dynamical Similarity Analysis ... Abstract:How can ...
Comparing the Temporal Structure of Computation in Neural Circuits ...
Here, we develop a data-driven method called Dynamical Similarity Analysis (DSA), which combines work from two previously-unrelated fields, machine learning for ...
Comparing the Temporal Structure of Computation in Neural Circuits ...
We introduce a novel similarity metric that compares two systems at the level of their dynamics, called Dynamical Similarity Analysis (DSA).
Comparing the Temporal Structure of Computation in Neural Circuits ...
This work introduces a novel similarity metric that compares two systems at the level of their dynamics, called Dynamical Similarity Analysis (DSA), ...
(PDF) Beyond Geometry: Comparing the Temporal Structure of ...
Standard approaches for comparing neural networks focus on the spatial geometry of latent states. Yet in recurrent networks, computations are ...
[2306.10168] Beyond Geometry: Comparing the Temporal Structure ...
Beyond Geometry: Comparing the Temporal Structure of Computation in Neural Circuits with Dynamical Similarity Analysis. Mitchell Ostrow, Adam Eisen, Leo ...
Beyond Geometry: Comparing the Temporal Structure of ...
Beyond Geometry: Comparing the Temporal Structure of Computation in Neural Circuits with Dynamical Similarity Analysis. Mitchell Ostrow, Adam Eisen, L ...
Comparing the Temporal Structure of Computation in Neural Circuits ...
Request PDF | On Jan 1, 2023, Mitchell Ostrow and others published Beyond Geometry: Comparing the Temporal Structure of Computation in Neural Circuits with ...
mitchellostrow/DSA: Dynamical Similarity Analysis code ... - GitHub
Dynamical Similarity Analysis code accompanying the paper "Beyond Geometry: comparing the temporal structure of computation in neural circuits via dynamical ...
Beyond geometry | Proceedings of the 37th International ...
Beyond geometry: comparing the temporal structure of computation in neural circuits with dynamical similarity analysis. AUTHORs: Mitchell ...
Conference on Cognitive Computational Neuroscience - CCN 2023
Beyond Geometry: Comparing the Temporal Structure of Computation in Neural Circuits with Dynamic Mode Representational Similarity Analysis. Mitchell Ostrow ...
My paper, “Beyond Geometry: Comparing the Temporal Structure of Computation in Neural Circuits with Dynamical Similarity Analysis” was accepted to the ...
Beyond Geometry: Comparing the Temporal Structure of Computation in Neural Circuits with Dynamic Mode Representational Similarity Analysis (2023). First ...
publications | About Mitchell Ostrow
Beyond Geometry: Comparing the Temporal Structure of Computation in Neural Circuits with Dynamical Similarity Analysis
Temporal scaling and computing time in neural circuits - Frontiers
Timing underlies a variety of functions, from walking to perceiving causality. Neural timing models typically fall into one of two categories—“ramping” and “ ...
Mitchell Ostrow mitchellostrow - GitHub
PhD Student in Computational Neuroscience and ML ... comparing the temporal structure of computation in neural circuits via dynamical similarity analysis".
The Neural Basis of Timing: Distributed Mechanisms for Diverse ...
But temporal processing encompasses a wide range of different computations, and just as there are different circuits and mechanisms underlying computations ...
Understanding the computation of time using neural network models
Spatial working memory and DM are believed to rely mostly on a prefrontoparietal circuit (15, 16). The dynamics and the network structure that enable this ...
Mitchell Ostrow - Google Scholar
Beyond Geometry: Comparing the Temporal Structure of Computation in Neural Circuits with Dynamical Similarity Analysis. M Ostrow, A Eisen, L Kozachkov, I Fiete.
What is Different in Neural Computation in Comparison with ...
Rather, the temporal dynamics of neural systems is input driven and salient aspects of the input and internal state representations are encoded in the temporal ...