System and Circuit Design for Biologically-Inspired Intelligent Learning

Despite significant research and studies in biologically-inspired circuit design, the capability of the biological creatures still excels that of artificially human-made systems inspired in terms of adaptivity, sensitivity, and spectral characteristics. System and Circuit Design for Biologically-Inspired Intelligent Learning aims to bridge that gap in the belief that compact organization and arrangement of the circuit and system design will be a major factor in attaining the pursued benefits of biological systems. Including research from abstract fields such as psychology to more concrete topics including circuit design, this text is designed for even fresh reader to make a smooth transition from principles to system/circuit architectures which simulate learning intelligence.

[1]  Gabriel Kreiman,et al.  Neural coding: computational and biophysical perspectives , 2004, Physics of Life Reviews.

[2]  Benjamin Isaac Rapoport,et al.  Neural prosthetics for paralysis : algorithms and low-power analog architectures for decoding neural signals , 2007 .

[3]  C. Popa Current-mode Euclidean distance circuit independent on technological parameters , 2005, CAS 2005 Proceedings. 2005 International Semiconductor Conference, 2005..

[4]  David C. Martin,et al.  Experimental and theoretical characterization of implantable neural microelectrodes modified with conducting polymer nanotubes. , 2008, Biomaterials.

[5]  Michael J. Black,et al.  Closed-loop neural control of cursor motion using a Kalman filter , 2004, The 26th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

[6]  R. Andersen,et al.  Neural prosthetic control signals from plan activity , 2003, Neuroreport.

[7]  B. Pesaran,et al.  Cognitive neural prosthetics , 2004, Trends in Cognitive Sciences.

[8]  Isabelle Guyon,et al.  An Introduction to Variable and Feature Selection , 2003, J. Mach. Learn. Res..

[9]  Richard A. Andersen,et al.  FMRI evidence for a 'parietal reach region' in the human brain , 2003, Experimental Brain Research.

[10]  R. Tibshirani,et al.  Improvements on Cross-Validation: The 632+ Bootstrap Method , 1997 .

[11]  Tarun Khanna,et al.  Foundations of neural networks , 1990 .

[12]  R. Fisher THE USE OF MULTIPLE MEASUREMENTS IN TAXONOMIC PROBLEMS , 1936 .

[13]  Eric A. Vittoz,et al.  CMOS selfbiased Euclidean distance computing circuit with high dynamic range , 1992 .

[14]  James M. Keller,et al.  Fuzzy Models and Algorithms for Pattern Recognition and Image Processing , 1999 .

[15]  W. Pitts,et al.  A Logical Calculus of the Ideas Immanent in Nervous Activity (1943) , 2021, Ideas That Created the Future.

[16]  P. Mohseni,et al.  Wireless multichannel biopotential recording using an integrated FM telemetry circuit , 2005, IEEE Transactions on Neural Systems and Rehabilitation Engineering.

[17]  R. Andersen,et al.  Selecting the signals for a brain–machine interface , 2004, Current Opinion in Neurobiology.

[18]  T. Kohonen Self-organized formation of topographically correct feature maps , 1982 .

[19]  Maysam Ghovanloo,et al.  A Wide-Band Power-Efficient Inductive Wireless Link for Implantable Microelectronic Devices Using Multiple Carriers , 2007, IEEE Transactions on Circuits and Systems I: Regular Papers.

[20]  S S Hsiao,et al.  Synchrony: a neural correlate of somatosensory attention. , 2007, Journal of neurophysiology.

[21]  Rahul Sarpeshkar,et al.  An analog storage cell with 5e - /sec leakage. , 2006 .

[22]  Lotfi A. Zadeh,et al.  Fuzzy Sets , 1996, Inf. Control..

[23]  Mohammad Fazle Azeem,et al.  Design and Fabrication of Basic Building Blocks For Analog Implementation of Programmable Fuzzy Logic Controller , 2007, 2007 IEEE International Conference on Information Reuse and Integration.

[24]  Bijan Pesaran,et al.  Temporal structure in neuronal activity during working memory in macaque parietal cortex , 2000, Nature Neuroscience.

[25]  C. Mehring,et al.  Inference of hand movements from local field potentials in monkey motor cortex , 2003, Nature Neuroscience.

[26]  E. Fetz,et al.  Direct control of paralyzed muscles by cortical neurons , 2008, Nature.

[27]  B. Nowrouzian,et al.  A Novel DCGA Optimization Technique for Guaranteed BIBO-Stable Frequency-Response Masking Digital Filters Incorporating Bilinear Lossless Discrete-integrator IIR Interpolation Sub-Filters , 2011 .

[28]  Michio Sugeno,et al.  A fuzzy-logic-based approach to qualitative modeling , 1993, IEEE Trans. Fuzzy Syst..

[29]  Scott K. Arfin,et al.  Low-Power Circuits for Brain-Machine Interfaces , 2007, 2007 IEEE International Symposium on Circuits and Systems.

[30]  R. Sarpeshkar,et al.  Brain power - borrowing from biology makes for low power computing [bionic ear] , 2006, IEEE Spectrum.

[31]  J. White Neural engineering , 2007, Annals of Biomedical Engineering.

[32]  J. Kuniholm Open Arms , 2009, IEEE Spectrum.

[34]  Robert D. Lipschutz,et al.  Targeted muscle reinnervation for real-time myoelectric control of multifunction artificial arms. , 2009, JAMA.

[35]  Ali H. Sayed,et al.  Adaptive Filters , 2008 .

[36]  Gerard de Haan,et al.  Optimal Regularization Parameter Estimation for Spectral Regression Discriminant Analysis , 2009, IEEE Transactions on Circuits and Systems for Video Technology.

[37]  David J. C. MacKay,et al.  Information Theory, Inference, and Learning Algorithms , 2004, IEEE Transactions on Information Theory.

[38]  Daryl R. Kipke,et al.  Wireless implantable microsystems: high-density electronic interfaces to the nervous system , 2004, Proceedings of the IEEE.

[39]  Idan Segev,et al.  Two opposing plasticity mechanisms pulling a single synapse , 2008, Trends in Neurosciences.

[40]  R A Normann,et al.  The Utah intracortical Electrode Array: a recording structure for potential brain-computer interfaces. , 1997, Electroencephalography and clinical neurophysiology.

[41]  C. M. Reeves,et al.  Function minimization by conjugate gradients , 1964, Comput. J..

[42]  Rahul Sarpeshkar,et al.  Feedback Analysis and Design of RF Power Links for Low-Power Bionic Systems , 2007, IEEE Transactions on Biomedical Circuits and Systems.

[43]  Rahul Sarpeshkar,et al.  An Energy-Efficient Micropower Neural Recording Amplifier , 2007, IEEE Transactions on Biomedical Circuits and Systems.

[45]  R Angus Silver,et al.  The Contribution of Single Synapses to Sensory Representation in Vivo , 2008, Science.

[46]  Michael A. Arbib,et al.  Brains, machines and mathematics (2. ed.) , 1987 .

[47]  B. Platt,et al.  Glutamate receptor function in learning and memory , 2003, Behavioural Brain Research.

[48]  Teuvo Kohonen,et al.  The self-organizing map , 1990 .

[49]  John L. Wyatt,et al.  Low Power Neural Stimulator for a Retinal Prosthesis , 2004 .

[50]  Hen-Wai Tsao,et al.  Turnable membership function circuit for fuzzy control systems using CMOS technology , 1992 .

[51]  David C. Martin,et al.  Chronic neural recordings using silicon microelectrode arrays electrochemically deposited with a poly(3,4-ethylenedioxythiophene) (PEDOT) film , 2006, Journal of neural engineering.

[52]  James D. Keeler,et al.  Layered Neural Networks with Gaussian Hidden Units as Universal Approximations , 1990, Neural Computation.

[53]  Bernabé Linares-Barranco,et al.  A Low-Power Current Mode Fuzzy-ART Cell , 2006, IEEE Transactions on Neural Networks.

[54]  Gérard Dreyfus,et al.  Handwritten digit recognition by neural networks with single-layer training , 1992, IEEE Trans. Neural Networks.

[55]  Gail Gong Cross-Validation, the Jackknife, and the Bootstrap: Excess Error Estimation in Forward Logistic Regression , 1986 .

[56]  Jerald D. Kralik,et al.  Chronic, multisite, multielectrode recordings in macaque monkeys , 2003, Proceedings of the National Academy of Sciences of the United States of America.

[57]  G. Laurent,et al.  Odour encoding by temporal sequences of firing in oscillating neural assemblies , 1996, Nature.

[58]  Christofer Toumazou,et al.  Analogue IC design : the current-mode approach , 1993 .

[59]  W. Härdle,et al.  Applied Multivariate Statistical Analysis , 2003 .

[60]  Michel Verleysen,et al.  Design of analog fuzzy logic controllers in CMOS technologies - implementation, test and application , 2003 .

[61]  R E Kass,et al.  Recursive bayesian decoding of motor cortical signals by particle filtering. , 2004, Journal of neurophysiology.

[62]  Irina Perfilieva Analytical Theory of Fuzzy IF-THEN Rules with Compositional Rule of Inference , 2007 .

[63]  S. Nash,et al.  Linear and Nonlinear Optimization , 2008 .

[64]  Mignon Park,et al.  An indirect model reference adaptive fuzzy control for SISO Takagi-Sugeno model , 2001, FUZZ-IEEE'99. 1999 IEEE International Fuzzy Systems. Conference Proceedings (Cat. No.99CH36315).

[65]  C. Alberini,et al.  Mechanisms of memory stabilization and de-stabilization. , 2006, Cellular and molecular life sciences : CMLS.

[66]  Hugh M Herr,et al.  Horizons in Prosthesis Development for the Restoration of Limb Function , 2006, The Journal of the American Academy of Orthopaedic Surgeons.

[67]  Michael W. Baker,et al.  A low-power wide dynamic range envelope detector , 2003, IEEE J. Solid State Circuits.

[68]  Mary Virginia Orna,et al.  Electrochemistry, past and present , 1989 .

[69]  Claudio Moraga,et al.  Multiple-Valued Logic and Artificial Intelligence Fundamentals of Fuzzy Control Revisited , 2003, Artificial Intelligence Review.

[70]  M. Nicolelis,et al.  Optimizing a Linear Algorithm for Real-Time Robotic Control using Chronic Cortical Ensemble Recordings in Monkeys , 2004, Journal of Cognitive Neuroscience.

[71]  Sally Adee,et al.  The revolution will be prosthetized , 2009, IEEE Spectrum.

[72]  Simon Haykin,et al.  Neural Networks and Learning Machines , 2010 .

[73]  Partha P. Mitra,et al.  Observed Brain Dynamics , 2007 .

[74]  Ricardo Gutierrez-Osuna,et al.  A method for evaluating data-preprocessing techniques for odour classification with an array of gas sensors , 1999, IEEE Trans. Syst. Man Cybern. Part B.

[75]  Emery N. Brown,et al.  Computational Neuroscience: A Comprehensive Approach , 2022 .

[76]  R. Olsson,et al.  A three-dimensional neural recording microsystem with implantable data compression circuitry , 2005, ISSCC. 2005 IEEE International Digest of Technical Papers. Solid-State Circuits Conference, 2005..

[77]  Abhijit S. Pandya,et al.  Pattern Recognition with Neural Networks in C++ , 1995 .

[78]  Chris Eliasmith,et al.  Neural Engineering: Computation, Representation, and Dynamics in Neurobiological Systems , 2004, IEEE Transactions on Neural Networks.

[79]  Karen L. Smith,et al.  Effects of insertion conditions on tissue strain and vascular damage during neuroprosthetic device insertion , 2006, Journal of neural engineering.

[80]  Jeffrey Taube,et al.  Head direction cells , 2009, Scholarpedia.

[81]  J. Carmena,et al.  Emergence of a Stable Cortical Map for Neuroprosthetic Control , 2009, PLoS biology.

[82]  J. Nazuno Haykin, Simon. Neural networks: A comprehensive foundation, Prentice Hall, Inc. Segunda Edición, 1999 , 2000 .

[83]  Okyay Kaynak,et al.  Neuro-fuzzy architecture for CMOS implementation , 1999, IEEE Trans. Ind. Electron..

[84]  I. Whishaw,et al.  Fundamentals of Human Neuropsychology , 1995 .

[85]  Teuvo Kohonen,et al.  Improved versions of learning vector quantization , 1990, 1990 IJCNN International Joint Conference on Neural Networks.

[86]  J. Csicsvari,et al.  Massively parallel recording of unit and local field potentials with silicon-based electrodes. , 2003, Journal of neurophysiology.

[87]  Jean-Pierre Deschamps,et al.  Logic Properties of Unate Discrete and Switching Functions , 1977, IEEE Transactions on Computers.

[88]  John von Neumann,et al.  The Computer and the Brain , 1960 .

[89]  Pamela Reinagel,et al.  Decoding visual information from a population of retinal ganglion cells. , 1997, Journal of neurophysiology.

[90]  Miguel A. L. Nicolelis,et al.  Methods for Neural Ensemble Recordings , 1998 .

[91]  Kaushal K. Shukla,et al.  On the design issue of intelligent electronic nose system , 2000, Proceedings of IEEE International Conference on Industrial Technology 2000 (IEEE Cat. No.00TH8482).

[92]  Rahul Sarpeshkar,et al.  A Bio-Inspired Ultra-Energy-Efficient Analog-to-Digital Converter for Biomedical Applications , 2006, IEEE Transactions on Circuits and Systems I: Regular Papers.

[93]  S. Schultz Principles of Neural Science, 4th ed. , 2001 .

[94]  David M. Skapura,et al.  Neural networks - algorithms, applications, and programming techniques , 1991, Computation and neural systems series.

[95]  E. Bizzi,et al.  Motor Learning with Unstable Neural Representations , 2007, Neuron.

[96]  R. Sarpeshkar,et al.  An analog bionic ear processor with zero-crossing detection , 2005, ISSCC. 2005 IEEE International Digest of Technical Papers. Solid-State Circuits Conference, 2005..

[97]  Nils J. Nilsson,et al.  Learning Machines: Foundations of Trainable Pattern-Classifying Systems , 1965 .

[98]  Simon Haykin,et al.  Neural Networks: A Comprehensive Foundation , 1998 .

[99]  Wei Wu,et al.  Real-Time Decoding of Nonstationary Neural Activity in Motor Cortex , 2008, IEEE Transactions on Neural Systems and Rehabilitation Engineering.

[100]  D. Hoffman,et al.  Muscle and movement representations in the primary motor cortex. , 1999, Science.

[101]  Peter Dayan,et al.  Theoretical Neuroscience: Computational and Mathematical Modeling of Neural Systems , 2001 .

[102]  Nikola Kasabov,et al.  Foundations Of Neural Networks, Fuzzy Systems, And Knowledge Engineering [Books in Brief] , 1996, IEEE Transactions on Neural Networks.

[103]  Michel Verleysen,et al.  A current-mode CMOS loser-take-all with minimum function for neural computations , 2000, 2000 IEEE International Symposium on Circuits and Systems. Emerging Technologies for the 21st Century. Proceedings (IEEE Cat No.00CH36353).

[104]  Valérie Ventura,et al.  Spike Train Decoding Without Spike Sorting , 2008, Neural Computation.

[105]  Hans-Andrea Loeliger,et al.  Decoding in analog VLSI , 1999, IEEE Commun. Mag..

[106]  Rahul Sarpeshkar,et al.  A practical micropower programmable bandpass filter for use in bionic ears , 2003, IEEE J. Solid State Circuits.

[107]  Haixian Wang,et al.  An efficient algorithm for generalized discriminant analysis using incomplete Cholesky decomposition , 2007, Pattern Recognit. Lett..

[108]  A. Hodgkin,et al.  A quantitative description of membrane current and its application to conduction and excitation in nerve , 1952, The Journal of physiology.

[109]  Jon A. Mukand,et al.  Neuronal ensemble control of prosthetic devices by a human with tetraplegia , 2006, Nature.

[110]  J. Taube Head direction cells recorded in the anterior thalamic nuclei of freely moving rats , 1995, The Journal of neuroscience : the official journal of the Society for Neuroscience.

[111]  Rahul Sarpeshkar,et al.  A Low-Power Wide-Linear-Range Transconductance Amplifier , 1997 .

[112]  Miguel A. L. Nicolelis,et al.  Real-time control of a robot arm using simultaneously recorded neurons in the motor cortex , 1999, Nature Neuroscience.

[113]  Ramón González Carvajal,et al.  The flipped voltage follower: a useful cell for low-voltage low-power circuit design , 2005, IEEE Transactions on Circuits and Systems I: Regular Papers.

[114]  E. Fetz,et al.  Long-term motor cortex plasticity induced by an electronic neural implant , 2006, Nature.

[115]  The spatial representation of odors by olfactory receptor neuron input to the olfactory bulb is concentration invariant. , 2000, The Biological bulletin.

[116]  J. Chapin Using multi-neuron population recordings for neural prosthetics , 2004, Nature Neuroscience.

[117]  R. Andersen,et al.  Coding of intention in the posterior parietal cortex , 1997, Nature.

[118]  Matthew Fellows,et al.  Robustness of neuroprosthetic decoding algorithms , 2003, Biological Cybernetics.

[119]  Ahmed Bouridane,et al.  An Improved LDA Approach with DFB Preprocessing for Face Recognition , 2007, BLISS.

[120]  Robert A. Jacobs,et al.  Increased rates of convergence through learning rate adaptation , 1987, Neural Networks.

[121]  Byron M. Yu,et al.  A high-performance brain–computer interface , 2006, Nature.

[122]  R. Sarpeshkar,et al.  A Bidirectional Wireless Link for Neural Prostheses that Minimizes Implanted Power Consumption , 2007, 2007 IEEE Biomedical Circuits and Systems Conference.

[123]  F ROSENBLATT,et al.  The perceptron: a probabilistic model for information storage and organization in the brain. , 1958, Psychological review.

[124]  Christian Heite,et al.  Analog CMOS realization of fuzzy logic membership functions , 1993 .

[125]  F. Attneave,et al.  The Organization of Behavior: A Neuropsychological Theory , 1949 .

[126]  Doron Lancet,et al.  Computational Capacity of an Odorant Discriminator: The Linear Separability of Curves , 2000, Neural Computation.

[127]  Carver Mead,et al.  Analog VLSI and neural systems , 1989 .

[128]  Leszek Rutkowski,et al.  Flexible Neuro-Fuzzy Systems: Structures, Learning and Performance Evaluation—L. Rutkowski (Boston, MA: Kluwer Academic Publishers, 2004, ISBN: 1-402-08042-5) Reviewed by A. E. Gaweda , 2006, IEEE Transactions on Neural Networks.

[129]  Michio Sugeno,et al.  Fuzzy identification of systems and its applications to modeling and control , 1985, IEEE Transactions on Systems, Man, and Cybernetics.

[130]  Takahiro Inoue,et al.  Configuration of fuzzy membership function circuits using current mode , 1987 .

[131]  K. W. Current,et al.  CMOS current comparator circuit , 1983 .

[132]  Michel Verleysen,et al.  Embedded fuzzy control for automatic channel equalization after digital transmissions , 2001, ISCAS 2001. The 2001 IEEE International Symposium on Circuits and Systems (Cat. No.01CH37196).

[133]  Michael J. Black,et al.  Modeling and decoding motor cortical activity using a switching Kalman filter , 2004, IEEE Transactions on Biomedical Engineering.

[134]  Hamparsum Bozdogan,et al.  Data Adaptive Simultaneous Parameter and Kernel Selection in Kernel Discriminant Analysis Using Information Complexity , 2009 .

[135]  David C. Martin,et al.  Electrochemical polymerization of conducting polymers in living neural tissue , 2007, Journal of neural engineering.

[136]  J.C. Sanchez,et al.  Interpreting spatial and temporal neural activity through a recurrent neural network brain-machine interface , 2005, IEEE Transactions on Neural Systems and Rehabilitation Engineering.

[137]  Rahul Sarpeshkar,et al.  A biomimetic adaptive algorithm and low-power architecture for implantable neural decoders , 2009, 2009 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

[138]  Jerald D. Kralik,et al.  Real-time prediction of hand trajectory by ensembles of cortical neurons in primates , 2000, Nature.

[139]  A. A. Mullin,et al.  Principles of neurodynamics , 1962 .

[140]  M S Lewicki,et al.  A review of methods for spike sorting: the detection and classification of neural action potentials. , 1998, Network.

[141]  Steve M. Potter What Can AI Get from Neuroscience? , 2006, 50 Years of Artificial Intelligence.

[142]  R. Sarpeshkar,et al.  A 10-nW 12-bit accurate analog storage cell with 10-aA leakage , 2004, IEEE Journal of Solid-State Circuits.

[143]  Eran Stark,et al.  Predicting Movement from Multiunit Activity , 2007, The Journal of Neuroscience.

[144]  P. Werbos,et al.  Beyond Regression : "New Tools for Prediction and Analysis in the Behavioral Sciences , 1974 .

[145]  R. Jacob Baker,et al.  CMOS Circuit Design, Layout, and Simulation , 1997 .

[146]  R.R. Harrison,et al.  A Low-Power Integrated Circuit for a Wireless 100-Electrode Neural Recording System , 2006, IEEE Journal of Solid-State Circuits.

[147]  C. Alberini,et al.  Memory , 2006, Cellular and Molecular Life Sciences CMLS.

[148]  Yale E. Cohen,et al.  A common reference frame for movement plans in the posterior parietal cortex , 2002, Nature Reviews Neuroscience.

[149]  Richard P. Lippmann,et al.  A micropower analog circuit implementation of hidden Markov model state decoding , 1997 .

[150]  Joseph A. Paradiso,et al.  Implantable Electronics , 2008, IEEE Pervasive Computing.

[151]  Myung Won Kim,et al.  Design rules of multilayer perceptrons , 1992, Defense, Security, and Sensing.

[152]  J.P. Donoghue,et al.  Reliability of signals from a chronically implanted, silicon-based electrode array in non-human primate primary motor cortex , 2005, IEEE Transactions on Neural Systems and Rehabilitation Engineering.

[153]  Andrew S. Whitford,et al.  Cortical control of a prosthetic arm for self-feeding , 2008, Nature.

[154]  Sir Charles Sherrington THE BRAIN AND ITS MECHANISM , 1934 .

[155]  E. H. Mamdani,et al.  Application of Fuzzy Logic to Approximate Reasoning Using Linguistic Synthesis , 1976, IEEE Transactions on Computers.

[156]  Daryl R Kipke,et al.  Advanced Neurotechnologies for Chronic Neural Interfaces: New Horizons and Clinical Opportunities , 2008, The Journal of Neuroscience.

[157]  Uri T Eden,et al.  General-purpose filter design for neural prosthetic devices. , 2007, Journal of neurophysiology.

[158]  Christopher M. Bishop,et al.  Neural networks for pattern recognition , 1995 .

[159]  Dr. Hans Hellendoorn,et al.  An Introduction to Fuzzy Control , 1996, Springer Berlin Heidelberg.

[160]  T. Bullock,et al.  Signals and signs in the nervous system: the dynamic anatomy of electrical activity is probably information-rich. , 1997, Proceedings of the National Academy of Sciences of the United States of America.

[161]  A. P. Georgopoulos,et al.  Neuronal population coding of movement direction. , 1986, Science.

[162]  David M. Santucci,et al.  Learning to Control a Brain–Machine Interface for Reaching and Grasping by Primates , 2003, PLoS biology.

[163]  Steve Furber,et al.  Neural systems engineering , 2007, Journal of The Royal Society Interface.

[164]  Wei Wu,et al.  Bayesian Population Decoding of Motor Cortical Activity Using a Kalman Filter , 2006, Neural Computation.

[165]  G. McLachlan Discriminant Analysis and Statistical Pattern Recognition , 1992 .

[166]  Rahul Sarpeshkar,et al.  An ultra-low-power programmable analog bionic ear processor , 2005, IEEE Transactions on Biomedical Engineering.

[167]  Peter Schrag,et al.  Mind Control , 1978 .

[168]  Chun-Yueh Huang,et al.  Modular current-mode multiple input minimum circuit for fuzzy logic controllers , 1996 .

[169]  Reid R. Harrison,et al.  The Design of Integrated Circuits to Observe Brain Activity , 2008, Proceedings of the IEEE.

[170]  Bin-Chang Chieu,et al.  Handwritten digits recognition system via OCON neural network by pruning selective update , 1992, Proceedings., 11th IAPR International Conference on Pattern Recognition. Vol.II. Conference B: Pattern Recognition Methodology and Systems.

[171]  Takahiro Inoue,et al.  Fuzzy Multiple-Input Maximum and Minimum Circuits in Current Mode and Their Analyses Using Bounded-Difference Equations , 1990, IEEE Trans. Computers.

[172]  Soumyajit Mandal,et al.  Power-Efficient Impedance-Modulation Wireless Data Links for Biomedical Implants , 2008, IEEE Transactions on Biomedical Circuits and Systems.

[173]  D. Borton,et al.  A Brain Implantable Microsystem with Hybrid RF/IR Telemetry for Advanced Neuroengineering Applications , 2007, 2007 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

[174]  B L McNaughton,et al.  Interpreting neuronal population activity by reconstruction: unified framework with application to hippocampal place cells. , 1998, Journal of neurophysiology.

[175]  Norbert Wiener,et al.  Cybernetics: Control and Communication in the Animal and the Machine. , 1949 .

[176]  S. Retterer,et al.  Controlling cellular reactive responses around neural prosthetic devices using peripheral and local intervention strategies , 2003, IEEE Transactions on Neural Systems and Rehabilitation Engineering.

[177]  Rahul Sarpeshkar,et al.  Analog Versus Digital: Extrapolating from Electronics to Neurobiology , 1998, Neural Computation.

[178]  Yevgeny Perelman,et al.  The NeuroProcessor: An Integrated Interface to Biological Neural Networks , 2008 .

[179]  A P Georgopoulos,et al.  On the relations between the direction of two-dimensional arm movements and cell discharge in primate motor cortex , 1982, The Journal of neuroscience : the official journal of the Society for Neuroscience.

[180]  Craig T. Nordhausen,et al.  Optimizing recording capabilities of the Utah Intracortical Electrode Array , 1994, Brain Research.

[181]  J. Carey Brain Facts: A Primer on the Brain and Nervous System. , 1990 .

[182]  Bernard Widrow,et al.  Adaptive switching circuits , 1988 .