activity
20162024
most citedThe Backpropagation Algorithm Implemented on Spiking Neuromorphic Hardware

41 citations · 126 across the 14 of their papers we have counts for

collaborators

15 papers

cond-mat.dis-nn2024★ 1 cited

Network analysis of memristive device circuits: dynamics, stability and correlations

Frank Barrows, Forrest C. Sheldon, Francesco Caravelli

Networks with memristive devices are a potential basis for the next generation of computing devices. They are also an important model system for basic science, from modeling nanosc…

q-bio.MN2023

Number of attractors in the critical Kauffman model is exponential

T. M. A. Fink, F. C. Sheldon

The Kauffman model is the archetypal model of genetic computation. It highlights the importance of criticality, at which many biological systems seem poised. In a series of advance…

q-bio.MN2023

Insights from number theory into the critical Kauffman model with connectivity one

F. C. Sheldon, T. M. A. Fink

The Kauffman model of genetic computation highlights the importance of criticality at the border of order and chaos. The model with connectivity one is of special interest because…

q-bio.QM2023

Characterizing contaminant noise in barcoded perturbation experiments

Forrest Sheldon

Bursting cells lead to ambient RNA that contaminates sequencing data. This process is especially problematic in perturbation experiments where transcription factors are implanted i…

cs.NE2021★ 41 cited

The Backpropagation Algorithm Implemented on Spiking Neuromorphic Hardware

Alpha Renner, Forrest Sheldon, Anatoly Zlotnik +2

The capabilities of natural neural systems have inspired new generations of machine learning algorithms as well as neuromorphic very large-scale integrated (VLSI) circuits capable…

cond-mat.mes-hall2021

Global minimization via classical tunneling assisted by collective force field formation

Francesco Caravelli, Forrest C. Sheldon, Fabio L. Traversa

Simple dynamical models can produce intricate behaviors in large networks. These behaviors can often be observed in a wide variety of physical systems captured by the network of in…