Kristofor D. Carlson

According to our database, Kristofor D. Carlson authored at least 12 papers between 2011 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Bringing Touch to the Edge: A Neuromorphic Processing Approach For Event-Based Tactile Systems.

Harshil Patel, Anup Vanarse, Kristofor D. Carlson, Adam Osseiran

Proceedings of the 5th IEEE International Conference on Artificial Intelligence Circuits and Systems, 2023

2019

Neural correlates of sparse coding and dimensionality reduction.

Michael Beyeler, Emily L. Rounds, Kristofor D. Carlson, Nikil D. Dutt, Jeffrey L. Krichmar

PLoS Comput. Biol., 2019

2017

A Digital Neuromorphic Architecture Efficiently Facilitating Complex Synaptic Response Functions Applied to Liquid State Machines.

Michael R. Smith, Aaron J. Hill, Kristofor D. Carlson, Craig M. Vineyard, Jonathon Donaldson, David R. Follett, Pamela L. Follett, John H. Naegle, Conrad D. James, James B. Aimone

CoRR, 2017

A novel digital neuromorphic architecture efficiently facilitating complex synaptic response functions applied to liquid state machines.

Michael R. Smith, Aaron J. Hill, Kristofor D. Carlson, Craig M. Vineyard, Jonathon Donaldson, David R. Follett, Pamela L. Follett, John H. Naegle, Conrad D. James, James B. Aimone

Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

Neurogenesis deep learning: Extending deep networks to accommodate new classes.

Timothy J. Draelos, Nadine E. Miner, Christopher C. Lamb, Jonathan A. Cox, Craig M. Vineyard, Kristofor D. Carlson, William M. Severa, Conrad D. James, James B. Aimone

Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

2016

Neurogenesis Deep Learning.

Timothy J. Draelos, Nadine E. Miner, Christopher C. Lamb, Craig M. Vineyard, Kristofor D. Carlson, Conrad D. James, James B. Aimone

CoRR, 2016

Spiking network algorithms for scientific computing.

William Severa, Ojas Parekh, Kristofor D. Carlson, Conrad D. James, James B. Aimone

Proceedings of the IEEE International Conference on Rebooting Computing, 2016

2015

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, Nikil D. Dutt, Jeffrey L. Krichmar

Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

2014

GPGPU accelerated simulation and parameter tuning for neuromorphic applications.

Kristofor D. Carlson, Michael Beyeler, Nikil D. Dutt, Jeffrey L. Krichmar

Proceedings of the 19th Asia and South Pacific Design Automation Conference, 2014

2013

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

Kristofor D. Carlson, Micah Richert, Nikil D. Dutt, Jeffrey L. Krichmar

Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

Design space exploration and parameter tuning for neuromorphic applications.

Kristofor D. Carlson, Jayram Moorkanikara Nageswaran, Nikil D. Dutt, Jeffrey L. Krichmar

Proceedings of the International Conference on Hardware/Software Codesign and System Synthesis, 2013

2011

Interplay of the magnitude and time-course of postsynaptic Ca^{2 +} concentration in producing spike timing-dependent plasticity.

Kristofor D. Carlson, Nicholas Giordano

J. Comput. Neurosci., 2011