Optimal Multivariate Tuning with Neuron-Level and Population-Level Energy Constraints

DOI10.1162/neco_a_01267zbMath1450.92022arXiv1911.12656OpenAlexW3007085872WikidataQ89758819 ScholiaQ89758819MaRDI QIDQ5131199

Yuval Harel, Ron Meir

Publication date: 2 November 2020

Published in: Neural Computation (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1911.12656

Mathematics Subject Classification ID

Neural biology (92C20)

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• A separation theorem for stochastic control problems with point-process observations
• Inequalities for generalized hypergeometric functions
• Dynamic state estimation based on Poisson spike trains—towards a theory of optimal encoding
• Optimal Short-Term Population Coding: When Fisher Information Fails
• Optimal Decoding of Dynamic Stimuli by Heterogeneous Populations of Spiking Neurons: A Closed-Form Approximation
• Efficient Neural Codes That Minimize L_p Reconstruction Error

This page was built for publication: Optimal Multivariate Tuning with Neuron-Level and Population-Level Energy Constraints