Bartlett W. Mel

28 papers B 1Journal 15Unranked 11
YearRankTypeTitle / Venue / Authors
2021 J jnl
ShapeY: Measuring Shape Recognition Capacity Using Nearest Neighbor Matching.
CoRR
Jong Woo Nam, Amanda Sofie Rios, Bartlett W. Mel
2019 J jnl
How Dendrites Affect Online Recognition Memory.
PLoS Comput. Biol.
Xundong Wu, Gabriel C. Mel, DJ Strouse, Bartlett W. Mel
2014 J jnl
An Augmented Two-Layer Model Captures Nonlinear Analog Spatial Integration Effects in Pyramidal Neuron Dendrites.
Proc. IEEE
Monika Jadi, Bardia F. Behabadi, Alon Poleg-Polsky, Jackie Schiller, Bartlett W. Mel
2012 J jnl
Location-Dependent Effects of Inhibition on Local Spiking in Pyramidal Neuron Dendrites.
PLoS Comput. Biol.
Monika Jadi, Alon Polsky, Jackie Schiller, Bartlett W. Mel
2012 J jnl
Location-Dependent Excitatory Synaptic Interactions in Pyramidal Neuron Dendrites.
PLoS Comput. Biol.
Bardia F. Behabadi, Alon Polsky, Monika Jadi, Jackie Schiller, Bartlett W. Mel
2011 J jnl
Distinguishing Linear vs. Non-Linear Integration in CA1 Radial Oblique Dendrites: It's about Time.
Frontiers Comput. Neurosci.
José Francisco Gómez González, Bartlett W. Mel, Panayiota Poirazi
2007 J jnl
J4 at Sweet 16: A New Wrinkle?
Neural Comput.
Bardia F. Behabadi, Bartlett W. Mel
2000 J jnl
Choice and Value Flexibility Jointly Contribute to the Capacity of a Subsampled Quadratic Classifier.
Neural Comput.
Panayiota Poirazi, Bartlett W. Mel
2000 — conf
Dendritic Compartmentalization Could Underlie Competition and Attentional Biasing of Simultaneous Visual Stimuli.
NIPS
Kevin A. Archie, Bartlett W. Mel
2000 J jnl
Minimizing Binding Errors Using Learned Conjunctive Features.
Neural Comput.
Bartlett W. Mel, József Fiser
2000 J jnl
Minimizing Binding Errors Using Learned Conjunctive Features.
Neural Comput.
Bartlett W. Mel, József Fiser
1999 — conf
Memory Capacity of Linear vs. Nonlinear Models of Dendritic Integration.
NIPS
Panayiota Poirazi, Bartlett W. Mel
1999 J jnl
Towards the memory capacity of neurons with active dendrites.
Neurocomputing
Panayiota Poirazi, Bartlett W. Mel
1997 J jnl
SEEMORE: Combining Color, Shape and Texture Histogramming in a Neurally-Inspired Approach to Visual Object Recognition.
Neural Comput.
Bartlett W. Mel
1997 — conf
Toward a Single-Cell Account for Binocular Disparity Tuning: An Energy Model May Be Hiding in Your Dendrites.
NIPS
Bartlett W. Mel, Daniel L. Ruderman, Kevin A. Archie
1996 — conf
Complex-Cell Responses Derived from Center-Surround Inputs: The Surprising Power of Intradendritic Computation.
NIPS
Bartlett W. Mel, Daniel L. Ruderman, Kevin A. Archie
1996 B conf
SEEMORE: a view-based approach to 3-D object recognition using multiple visual cues.
ICPR
Bartlett W. Mel
1995 — conf
SEEMORE: A View-Based Approach to 3-D Object Recognition Using Multiple Visual Cues.
NIPS
Bartlett W. Mel
1994 J jnl
Information Processing in Dendritic Trees.
Neural Comput.
Bartlett W. Mel
1992 J jnl
NMDA-Based Pattern Discrimination in a Modeled Cortical Neuron.
Neural Comput.
Bartlett W. Mel
1991 — conf
The Clusteron: Toward a Simple Abstraction for a Complex Neuron.
NIPS
Bartlett W. Mel
1990 — conf
How Receptive Field Parameters Affect Neural Learning.
NIPS
Bartlett W. Mel, Stephen M. Omohundro
1989 — —
MURPHY: A neurally-inspired connectionist approach to learning and performance in vision-based robot motion planning
Bartlett W. Mel
1989 — conf
Sigma-Pi Learning: On Radial Basis Functions and Cortical Associative Learning.
NIPS
Bartlett W. Mel, Christof Koch
1988 — conf
Building and Using Mental Models in a Sensory-Motor Domain.
ML
Bartlett W. Mel
1988 — conf
Further Explorations in Visually-Guided Reaching: Making MURPHY Smarter.
NIPS
Bartlett W. Mel
1988 J jnl
Tablet: Personal Computer in the Year 2000.
Commun. ACM
Bartlett W. Mel, Stephen M. Omohundro, Arch Douglas Robison, Steven Skiena, Kurt H. Thearling, Luke T. Young, Stephen Wolfram
1987 — conf
MURPHY: A Robot that Learns by Doing.
NIPS
Bartlett W. Mel