- Neural Estimation and Optimization of Directed Information Over ...🔍
- Rate| distortion theory of neural coding and its implications for ...🔍
- Channel Capacity of Neural Networks🔍
- What Makes a Brain Smart? Reservoir Computing as an Approach ...🔍
- Nonlinear mixed selectivity supports reliable neural computation🔍
- Farhad Mirkarimi🔍
- Neural capacity limits on the responses to memory interference ...🔍
- Linear Superposition Coding for the Gaussian MAC with Quantized ...🔍
Neural Computation of Capacity Region of Memoryless ...
Neural Estimation and Optimization of Directed Information Over ...
). For memoryless channels, where capacity is given by the maximized ... Farsad, “Neural computation of capacity region of memoryless ...
Rate- distortion theory of neural coding and its implications for ...
An algorithm for computing the capacity of arbitrary discrete memoryless channels. IEEE ... Energy efficient neural codes. Neural Computation ...
Channel Capacity of Neural Networks
In information theory, a discrete-time memoryless communication channel ... Computation 1(4), 541–551 (1989). 18. Linsker, R.: Self-organization in a ...
What Makes a Brain Smart? Reservoir Computing as an Approach ...
Different brain areas are characterized by different neural circuitry, and some be- ... We ex- amine memory and computational capacity and its link to ...
Nonlinear mixed selectivity supports reliable neural computation
Neuron 77, 969–979 (2013). 11. Arimoto, S. An algorithm for computing the capacity of arbitrary dis- crete memoryless channels. IEEE ...
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
Nonlinear mixed selectivity (NMS) has been observed widely across the brain, from primary sensory to decision-making to motor areas.
Neural capacity limits on the responses to memory interference ...
These changes include decreased functional neural efficiency and capacity within brain regions ... This degrees of freedom calculation method has been ...
Linear Superposition Coding for the Gaussian MAC with Quantized ...
Gaarder and J. K. Wolf, “The Capacity Region of a Multiple-Access. Discrete Memoryless Channel Can Increase with Feedback,” IEEE ... Neural computation, vol. 15, ...
Information theory - Wikipedia
5.5 Integrated process organization of neural information; 5.6 Miscellaneous applications. 6 ... capacity of discrete memoryless networks with feedback, [
its computation and energy-intensive profile [2]. These charac- teristics ... The. LogicWiSARD variations A, B, and C have smaller areas than MLP design, while ...
Neurons Do Not Need Adaptation to Optimally Encode Stimuli With ...
Memoryless Optimality: Neurons Do Not Need Adaptation to Optimally Encode Stimuli With Arbitrarily Complex Statistics. Neural Comput. 2022 ...
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 ...