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researcher

Kyrus R. Mama

2 papers hereh-index 12 citations2 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author2

Across the 2 of 2 papers where every author was matched, so the position is known.

fields
  • cs.LG1
  • q-bio.NC1

identity via Semantic Scholar / OpenAlex

most citedHeterogeneous quantization regularizes spiking neural network activity

1 citations · 1 across the 2 of their papers we have counts for

collaborators

2 papers

cs.LG2026

DendroNN: Dendrocentric Neural Networks for Energy-Efficient Classification of Event-Based Data

Jann Krausse, Zhe Su, Kyrus Mama +4

Spatiotemporal information is at the core of diverse sensory processing and computational tasks. Feed-forward spiking neural networks can be used to solve these tasks while offerin…

q-bio.NC2024★ 1 cited

Heterogeneous quantization regularizes spiking neural network activity

Roy Moyal, Kyrus R. Mama, Matthew Einhorn +2

The learning and recognition of object features from unregulated input has been a longstanding challenge for artificial intelligence systems. Brains are adept at learning stable re…

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