Kim T. Blackwell

发表

The role of background synaptic noise in striatal fast spiking interneurons

Jeanette Kotaleski, Dietmar Plenz, Kim T. Blackwell, 2005, Neurocomputing.

Biological plausibility of artificial neural networks: learning by non-Hebbian synapses

Kim T. Blackwell, Thomas P. Vogl, Daniel L. Alkon, 1993 .

Evidence for a Distinct Light-Induced Calcium-Dependent Potassium Current in Hermissenda Crassicornis

Kim T. Blackwell, K. Blackwell, 2000, Journal of Computational Neuroscience.

Biochemical Signaling Pathways and Diffusion: Overview

Kim T. Blackwell, 2014, Encyclopedia of Computational Neuroscience.

Protein Kinase C, Models of

Kim T. Blackwell, 2014, Encyclopedia of Computational Neuroscience.

Characterization of the light-induced currents in Hermissenda

Kim T. Blackwell, 2000, Neurocomputing.

Calcium Pumps, Models of

Kim T. Blackwell, K. Blackwell, 2014, Encyclopedia of Computational Neuroscience.

Striatal Models, Cellular Detail

Kim T. Blackwell, Rebekah C. Evans, Sriraman Damodaran, 2014, Encyclopedia of Computational Neuroscience.

Multi-Scale Edge Detection And Feature Binding: An Integrated Approach

Michael A. Brown, Kim T. Blackwell, Thomas P. Vogl, 1998, Pattern Recognit..

Stochastic Simulators

Kim T. Blackwell, Wonryull Koh, 2014, Encyclopedia of Computational Neuroscience.

Computational Hermissenda Photoarray Model

Kim T. Blackwell, Thomas P. Vogl, Daniel L. Alkon, 1994 .

Modeling of Enzyme Kinetics

Kim T. Blackwell, K. Blackwell, 2014, Encyclopedia of Computational Neuroscience.

The Effects of NMDA Subunit Composition on Calcium Influx and Spike Timing-Dependent Plasticity in Striatal Medium Spiny Neurons

Jeanette Kotaleski, Kim T. Blackwell, Kai Du, 2012, PLoS Comput. Biol..

Colocalization of Protein Kinase A with Adenylyl Cyclase Enhances Protein Kinase A Activity during Induction of Long-Lasting Long-Term-Potentiation

Kim T. Blackwell, Rodrigo Freire Oliveira, Myungsook Kim, 2011, PLoS Comput. Biol..

A new era in computational neuroscience

Kim T. Blackwell, K. Blackwell, 2005, Neuroinformatics.

Analog Pattern Matching in a Model of Dendritic Spines

Kim T. Blackwell, Keun-Hang Yang, 1998, ICONIP.

Control of βAR- and N-methyl-D-aspartate (NMDA) Receptor-Dependent cAMP Dynamics in Hippocampal Neurons

Kim T. Blackwell, Andrew Chay, Ilaria Zamparo, 2016, PLoS Comput. Biol..

An efficient stochastic diffusion algorithm for modeling second messengers in dendrites and spines

Kim T. Blackwell, K. Blackwell, 2006, Journal of Neuroscience Methods.

Protein Kinase A, Models of

Kim T. Blackwell, Joanna Jedrzejewska-Szmek, K. Blackwell, 2014, Encyclopedia of Computational Neuroscience.

Biological plausibility of synaptic associative memory models

Kim T. Blackwell, Thomas P. Vogl, Garth S. Barbour, 1994, Neural Networks.

Propagation of calcium waves in the Hermissenda type B photoreceptor

Kim T. Blackwell, 2001, Neurocomputing.

Transient Calcium and Dopamine Increase PKA Activity and DARPP-32 Phosphorylation

Jeanette Kotaleski, Kim T. Blackwell, Martin Wikström, 2006, PLoS Comput. Biol..

Particle-Based Stochastic Simulators

Kim T. Blackwell, 2014, Encyclopedia of Computational Neuroscience.

A kinetic model on DARPP-32 and the PKA/PP1 cascade

Jeanette Hellgren Kotaleski, Kim T. Blackwell, Martin A. Wikström, 2002 .

A new approach to hand-written character recognition

Kim T. Blackwell, Thomas P. Vogl, Garth S. Barbour, 1992, Pattern Recognit..

Identification of faces obscured by noise: comparison of an artificial neural network with human observers

Michael A. Brown, Kim T. Blackwell, Thomas P. Vogl, 1997, J. Exp. Theor. Artif. Intell..

Self-Organization of Cortical Information Processing

Kim T. Blackwell, Thomas P. Vogl, Daniel L. Alkon, 2018 .

Classification of Japanese Kanji using principal component analysis as a preprocessor to an artificial neural network

Kim T. Blackwell, Thomas P. Vogl, Garth S. Barbour, 1991, IJCNN-91-Seattle International Joint Conference on Neural Networks.

Associative learning in a network model of Hermissenda crassicornis

Kim T. Blackwell, Thomas P. Vogl, Daniel L. Alkon, 2004, Biological Cybernetics.

FS networks as population detectors of correlated input activity

Jeanette Hellgren Kotaleski, Kim T. Blackwell, Johannes Hjorth, 2010 .

Subcellular Location of PKA Controls Striatal Plasticity: Stochastic Simulations in Spiny Dendrites

Kim T. Blackwell, Rodrigo Freire Oliveira, Myungsook Kim, 2012, PLoS Comput. Biol..

Sensitivity to interstimulus interval due to calcium interactions in the Purkinje cell spines

Jeanette Kotaleski, Kim T. Blackwell, J. Kotaleski, 2002, Neurocomputing.

A solution to the feature correspondence problem inspired by visual scanpaths

Jeffrey L. Krichmar, Kim T. Blackwell, Thomas P. Vogl, 1999, Neurocomputing.

Paired Turbulence and Light do not Produce a Supralinear Calcium Increase in Hermissenda

Kim T. Blackwell, K. Blackwell, 2004, Journal of Computational Neuroscience.

The role of protein kinase C in the biochemical pathways of classical conditioning

Jeanette Kotaleski, Kim T. Blackwell, Keun-Hang Yang, 2001, Neurocomputing.

Modulation of Spike-Timing Dependent Plasticity: Towards the Inclusion of a Third Factor in Computational Models

Alexandre Mendes, Kim T. Blackwell, Hugues Berry, 2018, Front. Comput. Neurosci..

Orange Juice Classification with a Biologically Based Neural Network

Kim T. Blackwell, Thomas P. Vogl, Garth S. Barbour, 1996, Comput. Chem..

Organization of synatic inputs to striatal fast spiking interneurons

Jeanette Hellgren Kotaleski, Kim T. Blackwell, 2002 .

Signaling Pathways Involved in Striatal Synaptic Plasticity are Sensitive to Temporal Pattern and Exhibit Spatial Specificity

Kim T. Blackwell, Lane J. Wallace, BoHung Kim, 2013, PLoS Comput. Biol..

Postsynaptic Signal Transduction Models for Long-Term Potentiation and Depression

Jeanette Kotaleski, Kim T. Blackwell, Tiina Manninen, 2010, Front. Comput. Neurosci..

Temporal Sensitivity of Protein Kinase A Activation in Late-Phase Long Term Potentiation

Ted Huang, Kim T. Blackwell, Myungsook Kim, 2010, PLoS Comput. Biol..

β-adrenergic signaling broadly contributes to LTP induction

Kim T. Blackwell, Joanna Jedrzejewska-Szmek, Ted Abel, 2017, PLoS Comput. Biol..

Dynamics of the light-induced current in Hermissenda

Kim T. Blackwell, 1999, Neurocomputing.

Prediction of Neural Diameter From Morphology to Enable Accurate Simulation

Kim T. Blackwell, Jonathan D. Reed, K. Blackwell, 2021, Frontiers in Neuroinformatics.

26th Annual Computational Neuroscience Meeting (CNS*2017): Part 2

Minoru Asada, Anders M. Dale, Anna Devor, 2017, BMC Neuroscience.

Associative learning in a network model of Hermissenda crassicornis

Kim T. Blackwell, Thomas P. Vogl, Daniel L. Alkon, 2004, Biological Cybernetics.

The role of protein kinase C in the temporal specificity of Purkinje cells

Jeanette Hellgren Kotaleski, Kim T. Blackwell, K-H Yang, 2000 .

Cellular mechanisms of calcium elevation involved in long term memory

Kim T. Blackwell, Thomas P. Vogl, Daniel L. Alkon, 1998 .

Molecular mechanisms underlying neuronal synaptic plasticity: systems biology meets computational neuroscience in the wilds of synaptic plasticity

Kim T. Blackwell, Joanna Jedrzejewska-Szmek, K. Blackwell, 2013, Wiley interdisciplinary reviews. Systems biology and medicine.