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cond-mat.dis-nn2024★ 1 cited
Uncontrolled learning: co-design of neuromorphic hardware topology for neuromorphic algorithms
Frank Barrows, Jonathan Lin, Francesco Caravelli +1
Hardware-based neuromorphic computing remains an elusive goal with the potential to profoundly impact future technologies and deepen our understanding of emergent intelligence. The…
q-bio.NC2024
On the linear scaling of entropy vs. energy in human brain activity, the Hagedorn temperature and the Zipf law
Dante R. Chialvo, Romuald A. Janik
It is well established that the brain spontaneously traverses through a very large number of states. Nevertheless, despite its relevance to understanding brain function, a formal d…