Fleischer JG, Gally JA, and Edelman GM (in review) A spiking neural network simulation of working memory. Front. Comput. Neurosci.
McKinstry JL and Edelman GM (2013) Temporal sequence learning in winner-take-all networks of spiking neurons demonstrated in a brain-based device. Front. Neurorobot. 7:10. doi: 10.3389/fnbot.2013.00010
Chen Y, McKinstry JL and Edelman GM (2013) Versatile networks of simulated spiking neurons displaying winner-take-all behavior. Front. Comput. Neurosci. 7:16. doi: 10.3389/fncom.2013.00016
J.G. Fleischer, J.L. McKinstry, D.E. Edelman, and G.M. Edelman. (2011) The Case For Using Brain-Based Devices To Study Consciousness. In, JL Krichmar and H Wagatsuma (Eds.), Neuromorphic and Brain-Based Robots: Trends and Perspectives , Cambridge University Press, pp. 303--320.
Edelman GM, Gally JA and Baars BJ (2011) Biology of consciousness. Front. Psychology 2:4. doi: 10.3389/fpsyg.2011.00004
J.G. Fleischer and G.M. Edelman. (2009) Brain-based devices: An embodied approach to linking nervous system structure and function to behavior. IEEE Robotics & Automation Magazine, 16(3):33-41.
J.L. McKinstry, A.K. Seth, G.M. Edelman, and J.L. Krichmar (2008). Embodied models of delayed neural responses: Spatiotemporal categorization and predictive motor control in brain-based devices. Neural Networks 21:553-61.
DA Nitz, WJ Kargo, and JG Fleischer (2007) Dopamine signalling and the distal reward problem. Neuroreport, 18(17):1833-1836.
G.M. Edelman (2007). Learning in and from brain-based devices. Science, 318(5853):1103-1105. [pdf]
J.G. Fleischer and J.L. Krichmar (2007). Sensory integration and remapping in a medial temporal lobe model during maze navigation by a brain-based device. Journal of Integrative Neuroscience, 6(3):403-431. [pdf]
A.K. Seth and G.M. Edelman (2007). Distinguishing causal interactions in neural populations. Neural Computation 19(4):910-933. [pdf]
J.G. Fleischer, J.A. Gally, G.M. Edelman, and J.L. Krichmar (2007) Retrospective and prospective responses arising in a modeled hippocampus during maze navigation by a brain-based device. Proc Nat Acad Sci USA 104(9):3556-3561. [pdf]
J.G. Fleischer (2007) Neural correlates of anticipation in cerebellum, basal ganglia, and hippocampus. In, MV Butz, O Siguard, G Baldassarre, G Pezzulo (Eds.), Anticipatory Behavior in Adaptive Learning Systems: From Brains to Individual and Social Behavior, Lecture Notes in Artificial Intelligence, vol. 4520, pp. 19--34.
J.L. Krichmar and G.M. Edelman (2006). Principles Underlying the Construction of Brain-Based Devices, In Adaptation in Artificial and Biological Systems, T. Kovacs, and J. A. R. Marshall, eds. (Bristol UK: Society for the Study of Artificial Intelligence and the Simulation of Behaviour), pp. 37-42. [pdf]
J.L. McKinstry, G.M. Edelman, J.L. Krichmar (2006) A cerebellar model for predictive motor control tested in a brain-based device Proc Natl Acad Sci USA, 103: 3387-3392. [pdf]
J.G. Fleischer, B. Szatmáry, D.B. Hutson, D.A. Moore, J.A. Snook, G.M. Edelman, J.L. Krichmar (2006) A neurally controlled robot competes and cooperates with humans in Segway Sooccer. In Proceedings of the IEEE International Conference on Robotics and Automation, to appear. [pdf]
B. Szatmáry, J.G. Fleischer, D.B. Hutson, D.A. Moore, J.A. Snook, G.M. Edelman, J.L. Krichmar (2006) A Segway-based human-robot soccer team. In Proceedings of the IEEE International Conference on Robotics and Automation, to appear. [pdf]
J.L. Krichmar, A.K. Seth, D.A. Nitz, J.G. Fleischer, G.M. Edelman (2005) Spatial navigation and causal analysis in a brain-based device modeling cortical-hippocampal interactions. Neuroinformatics, 3(3), pp. 197-222 [pdf].
A.K. Seth, O. Sporns, J.L. Krichmar (2005) Neurorobotic models in neuroscience and neuroinformatics. Neuroinformatics 3(3), pp. 167-170 [pdf].
J.L. Krichmar, D. A. Nitz, J.A. Gally, and G. M. Edelman (2005). Characterizing functional hippocampal pathways in a brain-based device as it solves a spatial memory task. Proc Natl Acad Sci USA, 102: 2111-2116. [Abstract] [Full Text] [Figures Only] [PDF] [Supporting Information]
A.K. Seth, J.L. McKinstry, G.M. Edelman, J.L. Krichmar (2004) Active sensing of visual and tactile stimuli by brain-based devices. International Journal of Robotics and Automation. 19(4):222-238 [pdf].
A.K. Seth, J.L. McKinstry, G.M. Edelman, and J.L. Krichmar (2004). Visual binding through reentrant connectivity and dynamic synchronization in a brain-based device. Cerebral Cortex, 14:11, 1185-99. Article is reprinted, with permission, from Oxford University Press. [full text/pdf]
A.K. Seth, J.L. McKinstry, G.M. Edelman, J.L. Krichmar (2004) Texture discrimination by an autonomous mobile brain-based device with whiskers. Proceedings of the 2004 IEEE International Conference on Robotics & Automation (ICRA), New Orleans, LA, April 2004. pp. 4925-4930 [pdf].
J.L. Krichmar, G.M. Edelman (2003). Brain-Based Devices: Intelligent Systems Based on Principles of the Nervous System. In IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). pp. 940-945: Las Vegas, NV, [pdf].
J.L. Krichmar, G.M. Edelman, (2002) Machine Psychology: Autonomous Behavior, Perceptual Categorization and Conditioning in a Brain-Based Device, Cerebral Cortex 12:818-830.[pdf]. Article is reprinted, with permission, from Oxford University Press.
J.L. Krichmar, J.A. Snook (2002) A Neural Approach to Adaptive Behavior and Multi-Sensor Action Selection in a Mobile Device, Proceedings of the 2002 IEEE International Conference on Robotics and Automation, 3864-3869 [pdf].
J.L. Krichmar, J.A. Snook, G.M. Edelman, O. Sporns, (2000) Experience-dependent Perceptual Categorization in a Behaving Real-World Device, From Animals to Animats 6: Proceedings of the Sixth International Conference on the Simulation of Adaptive Behavior, MIT Press [pdf]. Article is reprinted, with permission, from From Animals To Animats 6, published by the MIT Press.
O. Sporns, N. Almassy, G.M. Edelman (2000) Plasticity in Value Systems and its Role in Adaptive Behavior. Adaptive Behavior 8:129-148.
N. Almassy, G.M. Edelman, O. Sporns (1998) Behavioral constraints in the development of neuronal properties: A cortical model embedded in a real-world device. Cerebral Cortex 8:346-361.
McKinstry JL and Edelman GM (2013) Temporal sequence learning in winner-take-all networks of spiking neurons demonstrated in a brain-based device. Front. Neurorobot. 7:10. doi: 10.3389/fnbot.2013.00010
Chen Y, McKinstry JL and Edelman GM (2013) Versatile networks of simulated spiking neurons displaying winner-take-all behavior. Front. Comput. Neurosci. 7:16. doi: 10.3389/fncom.2013.00016
J.G. Fleischer, J.L. McKinstry, D.E. Edelman, and G.M. Edelman. (2011) The Case For Using Brain-Based Devices To Study Consciousness. In, JL Krichmar and H Wagatsuma (Eds.), Neuromorphic and Brain-Based Robots: Trends and Perspectives , Cambridge University Press, pp. 303--320.
Edelman GM, Gally JA and Baars BJ (2011) Biology of consciousness. Front. Psychology 2:4. doi: 10.3389/fpsyg.2011.00004
J.G. Fleischer and G.M. Edelman. (2009) Brain-based devices: An embodied approach to linking nervous system structure and function to behavior. IEEE Robotics & Automation Magazine, 16(3):33-41.
J.L. McKinstry, A.K. Seth, G.M. Edelman, and J.L. Krichmar (2008). Embodied models of delayed neural responses: Spatiotemporal categorization and predictive motor control in brain-based devices. Neural Networks 21:553-61.
DA Nitz, WJ Kargo, and JG Fleischer (2007) Dopamine signalling and the distal reward problem. Neuroreport, 18(17):1833-1836.
G.M. Edelman (2007). Learning in and from brain-based devices. Science, 318(5853):1103-1105. [pdf]
J.G. Fleischer and J.L. Krichmar (2007). Sensory integration and remapping in a medial temporal lobe model during maze navigation by a brain-based device. Journal of Integrative Neuroscience, 6(3):403-431. [pdf]
A.K. Seth and G.M. Edelman (2007). Distinguishing causal interactions in neural populations. Neural Computation 19(4):910-933. [pdf]
J.G. Fleischer, J.A. Gally, G.M. Edelman, and J.L. Krichmar (2007) Retrospective and prospective responses arising in a modeled hippocampus during maze navigation by a brain-based device. Proc Nat Acad Sci USA 104(9):3556-3561. [pdf]
J.G. Fleischer (2007) Neural correlates of anticipation in cerebellum, basal ganglia, and hippocampus. In, MV Butz, O Siguard, G Baldassarre, G Pezzulo (Eds.), Anticipatory Behavior in Adaptive Learning Systems: From Brains to Individual and Social Behavior, Lecture Notes in Artificial Intelligence, vol. 4520, pp. 19--34.
J.L. Krichmar and G.M. Edelman (2006). Principles Underlying the Construction of Brain-Based Devices, In Adaptation in Artificial and Biological Systems, T. Kovacs, and J. A. R. Marshall, eds. (Bristol UK: Society for the Study of Artificial Intelligence and the Simulation of Behaviour), pp. 37-42. [pdf]
J.L. McKinstry, G.M. Edelman, J.L. Krichmar (2006) A cerebellar model for predictive motor control tested in a brain-based device Proc Natl Acad Sci USA, 103: 3387-3392. [pdf]
J.G. Fleischer, B. Szatmáry, D.B. Hutson, D.A. Moore, J.A. Snook, G.M. Edelman, J.L. Krichmar (2006) A neurally controlled robot competes and cooperates with humans in Segway Sooccer. In Proceedings of the IEEE International Conference on Robotics and Automation, to appear. [pdf]
B. Szatmáry, J.G. Fleischer, D.B. Hutson, D.A. Moore, J.A. Snook, G.M. Edelman, J.L. Krichmar (2006) A Segway-based human-robot soccer team. In Proceedings of the IEEE International Conference on Robotics and Automation, to appear. [pdf]
J.L. Krichmar, A.K. Seth, D.A. Nitz, J.G. Fleischer, G.M. Edelman (2005) Spatial navigation and causal analysis in a brain-based device modeling cortical-hippocampal interactions. Neuroinformatics, 3(3), pp. 197-222 [pdf].
A.K. Seth, O. Sporns, J.L. Krichmar (2005) Neurorobotic models in neuroscience and neuroinformatics. Neuroinformatics 3(3), pp. 167-170 [pdf].
J.L. Krichmar, D. A. Nitz, J.A. Gally, and G. M. Edelman (2005). Characterizing functional hippocampal pathways in a brain-based device as it solves a spatial memory task. Proc Natl Acad Sci USA, 102: 2111-2116. [Abstract] [Full Text] [Figures Only] [PDF] [Supporting Information]
A.K. Seth, J.L. McKinstry, G.M. Edelman, J.L. Krichmar (2004) Active sensing of visual and tactile stimuli by brain-based devices. International Journal of Robotics and Automation. 19(4):222-238 [pdf].
A.K. Seth, J.L. McKinstry, G.M. Edelman, and J.L. Krichmar (2004). Visual binding through reentrant connectivity and dynamic synchronization in a brain-based device. Cerebral Cortex, 14:11, 1185-99. Article is reprinted, with permission, from Oxford University Press. [full text/pdf]
A.K. Seth, J.L. McKinstry, G.M. Edelman, J.L. Krichmar (2004) Texture discrimination by an autonomous mobile brain-based device with whiskers. Proceedings of the 2004 IEEE International Conference on Robotics & Automation (ICRA), New Orleans, LA, April 2004. pp. 4925-4930 [pdf].
J.L. Krichmar, G.M. Edelman (2003). Brain-Based Devices: Intelligent Systems Based on Principles of the Nervous System. In IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). pp. 940-945: Las Vegas, NV, [pdf].
J.L. Krichmar, G.M. Edelman, (2002) Machine Psychology: Autonomous Behavior, Perceptual Categorization and Conditioning in a Brain-Based Device, Cerebral Cortex 12:818-830.[pdf]. Article is reprinted, with permission, from Oxford University Press.
J.L. Krichmar, J.A. Snook (2002) A Neural Approach to Adaptive Behavior and Multi-Sensor Action Selection in a Mobile Device, Proceedings of the 2002 IEEE International Conference on Robotics and Automation, 3864-3869 [pdf].
J.L. Krichmar, J.A. Snook, G.M. Edelman, O. Sporns, (2000) Experience-dependent Perceptual Categorization in a Behaving Real-World Device, From Animals to Animats 6: Proceedings of the Sixth International Conference on the Simulation of Adaptive Behavior, MIT Press [pdf]. Article is reprinted, with permission, from From Animals To Animats 6, published by the MIT Press.
O. Sporns, N. Almassy, G.M. Edelman (2000) Plasticity in Value Systems and its Role in Adaptive Behavior. Adaptive Behavior 8:129-148.
N. Almassy, G.M. Edelman, O. Sporns (1998) Behavioral constraints in the development of neuronal properties: A cortical model embedded in a real-world device. Cerebral Cortex 8:346-361.