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Neuroscience

D-Index
42
Citations
6532
World Ranking
7677
National Ranking
3297

Overview

Jeffrey L. Krichmar is affiliated with the University of California, Irvine in the United States. Their research spans multiple interconnected fields including Neuroscience, Engineering, and Computer Science. The subfields where they have made contributions include Cognitive Neuroscience, Electrical and Electronic Engineering, Artificial Intelligence, Computer Vision and Pattern Recognition, and Cellular and Molecular Neuroscience.

Their work covers a range of topics mainly focused on neural dynamics and brain function, with special attention to advanced memory and neural computing, memory and neural mechanisms, ferroelectric and negative capacitance devices, robotics and sensor-based localization, robotic path planning algorithms, and reinforcement learning in robotics.

Recent significant publications include:

  • "Biological underpinnings for lifelong learning machines," 2022, published in Nature Machine Intelligence
  • "CARLsim 6: An Open Source Library for Large-Scale, Biologically Detailed Spiking Neural Network Simulation," 2022, presented at the 2022 International Joint Conference on Neural Networks (IJCNN)
  • "Domain Adaptation In Reinforcement Learning Via Latent Unified State Representation," 2021, featured in the Proceedings of the AAAI Conference on Artificial Intelligence
  • "Neurorobots as a Means Toward Neuroethology and Explainable AI," 2020, published in Frontiers in Neurorobotics
  • "Dynamic Reliability Management in Neuromorphic Computing," 2021, appearing in the ACM Journal on Emerging Technologies in Computing Systems

Frequent co-authors collaborating with Krichmar include Nikil Dutt, Xinyun Zou, Anup Das, Jinwei Xing, and Kexin Chen, reflecting ongoing partnerships across related research areas.

Common publication venues for Krichmar encompass arXiv (Cornell University), Frontiers in Neurorobotics, Neural Networks, bioRxiv (Cold Spring Harbor Laboratory), and the Proceedings of the AAAI Conference on Artificial Intelligence. These outlets suggest a blend of preprint repositories and peer-reviewed conference and journal forums.

Best Publications

  • Biological underpinnings for lifelong learning machines

    Unknown

  • Neuromodulatory Systems and Their Interactions: A Review of Models, Theories, and Experiments.

    Michael C. Avery;Jeffrey L. Krichmar

  • L-neuron: A modeling tool for the efficient generation and parsimonious description of dendritic morphology☆

    Giorgio A Ascoli;Jeffrey L Krichmar

  • Effects of dendritic morphology on CA3 pyramidal cell electrophysiology: a simulation study

    Jeffrey L. Krichmar;Slawomir J. Nasuto;Slawomir J. Nasuto;Ruggero Scorcioni;Stuart D. Washington

  • Machine Psychology: Autonomous Behavior, Perceptual Categorization and Conditioning in a Brain-based Device

    Jeffrey L. Krichmar;Gerald M. Edelman

  • A configurable simulation environment for the efficient simulation of large-scale spiking neural networks on graphics processors

    Jayram Moorkanikara Nageswaran;Nikil Dutt;Jeffrey L. Krichmar;Alex Nicolau

  • Spatial navigation and causal analysis in a brain-based device modeling cortical-hippocampal interactions.

    Jeffrey L Krichmar;Anil K Seth;Douglas A Nitz;Jason G Fleischer

  • 2009 Special Issue: A configurable simulation environment for the efficient simulation of large-scale spiking neural networks on graphics processors

    Jayram Moorkanikara Nageswaran;Nikil Dutt;Jeffrey L. Krichmar;Alex Nicolau

  • Generation, description and storage of dendritic morphology data

    Giorgio A. Ascoli;Jeffrey L. Krichmar;Jeffrey L. Krichmar;Slawomir J. Nasuto;Stephen L. Senft

  • Oculomotor impairment during chronic partial sleep deprivation

    M. Russo;M. Thomas;David R. Thorne;H. Sing

  • The Neuromodulatory System: A Framework for Survival and Adaptive Behavior in a Challenging World

    Jeffrey L. Krichmar

  • Categorization and decision-making in a neurobiologically plausible spiking network using a STDP-like learning rule

    Michael Beyeler;Nikil D. Dutt;Jeffrey L. Krichmar

  • Mapping Spiking Neural Networks to Neuromorphic Hardware

    Adarsha Balaji;Francky Catthoor;Anup Das;Yuefeng Wu

  • Visual binding through reentrant connectivity and dynamic synchronization in a brain-based device

    Anil K. Seth;Jeffrey L. McKinstry;Gerald M. Edelman;Jeffrey L. Krichmar

  • Brain-Based Devices for the Study of Nervous Systems and the Development of Intelligent Machines

    Jeffrey L. Krichmar;Gerald M. Edelman

  • Efficient simulation of large-scale Spiking Neural Networks using CUDA graphics processors

    Jayram Moorkanikara Nageswaran;Nikil Dutt;Jeffrey L. Krichmar;Alex Nicolau

  • Computer generation and quantitative morphometric analysis of virtual neurons.

    G. A. Ascoli;Jeffrey L. Krichmar;Ruggero Scorcioni;Slawomir J. Nasuto

  • Characterizing functional hippocampal pathways in a brain-based device as it solves a spatial memory task

    Jeffrey L. Krichmar;Douglas A. Nitz;Joseph A. Gally;Gerald M. Edelman

  • Neural correlates of sparse coding and dimensionality reduction.

    Michael Beyeler;Emily L. Rounds;Kristofor D. Carlson;Kristofor D. Carlson;Nikil D. Dutt

  • A Proposal for a Decade of the Mind Initiative

    James S. Albus;George A. Bekey;John H. Holland;Nancy G. Kanwisher

  • A neurorobotic platform to test the influence of neuromodulatory signaling on anxious and curious behavior

    Jeffrey L. Krichmar

  • Evolutionary robotics: The biology, intelligence, and technology of self‐organizing machines

    Jeffrey L. Krichmar

Frequent Co-Authors

Nikil Dutt
Nikil Dutt University of California, Irvine
Giorgio A. Ascoli
Giorgio A. Ascoli George Mason University
Douglas A. Nitz
Douglas A. Nitz University of California, San Diego
Anil K. Seth
Anil K. Seth University of Sussex
Gert Cauwenberghs
Gert Cauwenberghs University of California, San Diego
Randall C. O'Reilly
Randall C. O'Reilly University of California, Davis
Shih-Chii Liu
Shih-Chii Liu University of Zurich
Gregory Belenky
Gregory Belenky Washington State University Spokane

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