Jason G. Fleischer

The Neurosciences Institute, San Diego, CA, United States 
Computational neuroscience, hippocampus, learning and memory, robotics, consciousness
"Jason Fleischer"
Cross-listing: Neurotree

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McKinstry JL, Fleischer JG, Chen Y, et al. (2016) Imagery May Arise from Associations Formed through Sensory Experience: A Network of Spiking Neurons Controlling a Robot Learns Visual Sequences in Order to Perform a Mental Rotation Task. Plos One. 11: e0162155
Fleischer JG, McKinstry JL, Edelman DB, et al. (2011) The case for using brain-based devices to study consciousness Neuromorphic and Brain-Based Robots. 304-319
Fleischer JG, Edelman GM. (2009) Brain-based devices: An embodied approach to linking nervous system structure and function to behavior Ieee Robotics and Automation Magazine. 16: 33-41
Nitz DA, Kargo WJ, Fleischer J. (2007) Dopamine signaling and the distal reward problem. Neuroreport. 18: 1833-6
Fleischer JG, Krichmar JL. (2007) Sensory integration and remapping in a model of the medial temporal lobe during maze navigation by a brain-based device. Journal of Integrative Neuroscience. 6: 403-31
Fleischer JG, Gally JA, Edelman GM, et al. (2007) Retrospective and prospective responses arising in a modeled hippocampus during maze navigation by a brain-based device. Proceedings of the National Academy of Sciences of the United States of America. 104: 3556-61
Fleischer J, Szatmáry B, Hutson D, et al. (2006) A neurally controlled robot competes and cooperates with humans in Segway soccer Proceedings - Ieee International Conference On Robotics and Automation. 2006: 3673-3678
Krichmar JL, Seth AK, Nitz DA, et al. (2005) Spatial navigation and causal analysis in a brain-based device modeling cortical-hippocampal interactions. Neuroinformatics. 3: 197-221
Fleischer J, Marsland S, Shapiro J. (2003) Sensory Anticipation for Autonomous Selection of Robot Landmarks Lecture Notes in Computer Science. 201-221
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