Neural Computation of Capacity Region of Memoryless Multiple ...

Characterizing the impact of noise on neural computation - YouTube

Alex Williams (NYU, Flatiron Institute) https://simons.berkeley.edu/talks/alex-williams-nyu-flatiron-institute-2024-06-03 Understanding ...

Neural Estimation and Optimization of Directed Information Over ...

A prominent example is channel capacity computation ... Farsad, “Neural computation of capacity region of memoryless multiple access channels,” in ...

Deep learning in neural networks: An overview

Many computational models of such spiking neurons have been proposed and analyzed (e.g., Amit. & Brunel, 1997; Bohte, Kok, & La Poutre, 2002; Brea, Senn ...

Publications - Mohammad Ali Maddah-Ali - University of Minnesota

Maddah-Ali, “The Capacity Region of Distributed Multi-User Secret Sharing ... Aref, 'Coded Secure Multi-Party Computation for Massive Matrices with ...

Articles by Farhad Mirkarimi - Synthical

Neural Computation of Capacity Region of Memoryless Multiple Access Channels. 10 May 2021 by Farhad Mirkarimi and Nariman Farsad · Information Theory · On the ...

On the Discrete-Input Continuous-Output Memoryless Channel ...

LACO-. OFDM schemes having more layers have lower capacity in the low-SNR region before crossing all other curves. ... The capacity formula was then used as our ...

Asynchronous Multiple-Access Channel Capacity

Abstract- The capacity region for the discrete memoryless multiple- access ... A similar calculation is made for the second window, at rates R' = (R ...

Computational principles of memory

Experimentally, long stimulus-dependent trajectories are observed in multiple neural ... In real neural systems, what are the demands on. STM and LTM capacity?

Farhad Mirkarimi - CSAuthors

Neural Computation of Capacity Region of Memoryless Multiple Access Channels. Farhad Mirkarimi. ,. Nariman Farsad. Proceedings of the IEEE International ...

Nonlinear mixed selectivity supports reliable neural computation

The first two of these goals have received extensive attention in neuroscience, particularly in the literature on efficient coding and ...

Capacity results for the discrete memoryless network - Information ...

Numerical computations show that the last technique enlarges the best known rate regions for a multiple-access channel (MAC) and a BC, both with feedback. In.

Criticality, Connectivity, and Neural Disorder - Frontiers

It has been hypothesized that the brain optimizes its capacity for computation by self-organizing to a critical point ... many properties associated with ...

Showing 1–4 of 4 results for author: Mirkarimi, F

Neural Computation of Capacity Region of Memoryless Multiple Access Channels. Authors: Farhad Mirkarimi, Nariman Farsad. Abstract: This paper provides a ...