Kristofor D. Carlson

A historical survey of algorithms and hardware architectures for neural-inspired and neuromorphic computing applications

Conrad D. James, James B. Aimone, Nadine E. Miner et al. · Biologically Inspired Cognitive Architectures · 2017 · 110 citations · Full text

Engineering, Computational Neuroscience, Unconventional Computing +13

Neurogenesis deep learning: Extending deep networks to accommodate new classes

Timothy J. Draelos, Nadine E. Miner, Christopher C. Lamb et al. · 2017 · 82 citations · Full text

Deep Layers, Convolutional Neural Network, Engineering +17

An efficient automated parameter tuning framework for spiking neural networks

Kristofor D. Carlson, Jayram Moorkanikara Nageswaran, Nikil Dutt et al. · Frontiers in Neuroscience · 2014 · 74 citations · Full text

CARLsim 3: A user-friendly and highly optimized library for the creation of neurobiologically detailed spiking neural networks

Michael Beyeler, Kristofor D. Carlson, Ting-Shuo Chou et al. · 2015 · 59 citations

Engineering, Carlsim 3, Optimized Library +20

Biologically plausible models of homeostasis and STDP: Stability and learning in spiking neural networks

Kristofor D. Carlson, Micah Richert, Nikil Dutt et al. · 2013 · 41 citations

Synaptic Transmission, Neural Network, Synaptic Signaling +28