- Discovering Speech Phones Using Convolutive Non-negative Matrix Factorisation
- in Advances in Neural Information Processing Systems 12, S.A. Solla, T.K. Leen and K.-R. Muller (eds.), 185{191, MIT Press (2000)
- LOCALIZATION OF INDEPENDENT COMPONENTS FROM MAGNETOENCEPHALOGRAPHY
- Hidden Markov Model Cheat Sheet Barak A. Pearlmutter
- A Context-Sensitive Generalization of ICA Barak A. Pearlmutter
- Behavioral/Systems/Cognitive Sparse Representations for the Cocktail Party Problem
- Equivalence Proofs for Multi-Layer Perceptron Classifiers and the Bayesian Discriminant Function
- Fast Robust Subject-Independent Magnetoencephalographic Source Localization
- Realtime MEG source localization with realistic Sung Chan Jun Barak A. Pearlmutter Guido Nolte
- USE YOUR POWERS WISELY: RESOURCE ALLOCATION IN PARALLEL CHANNELS Santiago Jaramillo Barak A. Pearlmutter
- Perturbation Confusion and Referential Transparency
- Optimal Coding Predicts Attentional Modulation of Activity in Neural Systems
- Manuscript NC 2079 Blind Source Separation by Sparse
- Results of the Abbadingo One DFA Learning Competition a New Evidence Driven State Merging Algorithm
- Fast Exact Multiplication by the Hessian Barak A. Pearlmutter
- Subject-Independent Magnetoencephalographic Source Localization by a Multilayer Perceptron
- In Magnetic Source Imaging of the Human Brain (2002). Invited Chapter for a festschrift in honor of Samuel Williamson, edited by Lloyd Kaufman and Zhong Lin Lu. Lawrence Eribaum and Associated (LEA).
- The VESPA: a Method for the Rapid Estimation of a Visual Evoked Potential
- MEG Source Localization using an MLP Sung Chan Jun, Barak A. Pearlmutter, Guido Nolte
- VC Dimension of an IntegrateandFire Neuron Model Anthony M. Zador
- Higher Order and Symbolic Computation manuscript No. (will be inserted by the editor)
- Higher Order and Symbolic Computation manuscript No. (will be inserted by the editor)
- Equivalence Proofs for MultiLayer Perceptron Classifiers and the Bayesian Discriminant Function \Lambda
- Independent Components of Magnetoencephalography, Part II: Singletrial Response Onset Times
- ReverseMode AD in a Functional Framework: Lambda the Ultimate Backpropagator
- A ContextSensitive Generalization of ICA Barak A. Pearlmuttery Lucas C. Parraz
- To appear in POPL 2007 FirstClass Nonstandard Interpretations by Opening Closures
- A Spectrum of Colors: Investigating the Temporal Frequency Characteristics of the Human Visual System Using a System
- Dynamic Recurrent Neural Networks Barak A. Pearlmutter
- Temporally Continuous vs. Clocked Networks Barak A. Pearlmutter
- Blind Source Separation of Neuromagnetic Responses
- SubjectIndependent Magnetoencephalographic Source Localization by a Multilayer Perceptron
- CONVOLUTIVE NONNEGATIVE MATRIX FACTORISATION WITH A SPARSENESS CONSTRAINT
- STOCKBYTE&DIGITALVISION Digital Object Identifier 10.1109/MSP.2007.909011
- LINEAR PROGRAM DIFFERENTIATION FOR SINGLE-CHANNEL SPEECH SEPARATION
- Monaural Source Separation using Spectral Cues Barak A. Pearlmutter 1 and Anthony M. Zador 2
- LINEAR PROGRAM DIFFERENTIATION FOR SINGLECHANNEL SPEECH SEPARATION
- A New Hypothesis for Sleep: Tuning for Criticality Barak A. Pearlmutter
- Brightness Illusions as Optimal Percepts BARAK A. PEARLMUTTER & SANTIAGO JARAMILLO
- Survey of Sparse and Non-Sparse Methods in Source Paul D. O'Grady,1
- Using Programming Language Theory to Make Automatic Differentiation Sound and Efficient
- MEG Source Localization using an MLP with a Distributed Output Representation
- Playing the MatchingShoulders LobPass Game with Logarithmic Regret
- To appear in POPL 2007 Lazy Multivariate HigherOrder ForwardMode AD
- Reverse-Mode AD in a Functional Framework: Lambda the Ultimate Backpropagator
- Relating Egomotion and Image Evolution
- Algorithmic Differentiation through Convergent Loops Barak A. Pearlmutter # Hamilton E. Link +
- Fast Robust SubjectIndependent Magnetoencephalographic Source Localization
- IEEE TRANSACTIONS ON COMPUTERS, VOL. 45, NO. 6, JUNE 1996 1 Doing the Twist: Diagonal Meshes are
- Blind Source Separation by Sparse Decomposition
- Fast accurate MEG source localization using a multilayer perceptron trained with real brain noise
- Accepted to Communications of the ACM. Not yet scheduled or copy edited. Garbage Collection with Pointers to Individual Cells
- LETTER Communicated by Emilio Salinas Optimal Coding Predicts Attentional Modulation of Activity
- The VESPA: A method for the rapid estimation of a visual evoked potential
- LETTER Communicated by Terrence Sejnowski Independent Components of Magnetoencephalography
- SoftLOST: EM on a Mixture of Oriented Lines Paul D. O'Grady and Barak A. Pearlmutter
- IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING (IN SUBMISSION) 1 Blind Source Separation for the Superconducting
- The VESPA: a Method for the Rapid Estimation of a Visual Evoked Potential
- Sparse Representations for the Cocktail Party Problem Hiroki Asari
- ISSC 2004, Belfast, June 30 July 2 HardLOST: Modified kMeans for Oriented Lines
- VC Dimension of an IntegrateandFire Neuron Anthony M. Zador \Lambda Barak A. Pearlmutter y
- Illusory Percepts from Auditory Adaptation Lucas C. Parra #
- Independent Components of Magnetoencephalography: Localization and SingleTrial Response Onset Detection
- To appear in the proceedings of NIPS*4, Morgan Kaufmann 1992. Gradient Descent: SecondOrder Momentum
- Efficient Computation of Sparse Elements of the Inverse of a Sparse NearTridiagonal Matrix with Application to the Nerve Equation
- Independent Components of Magnetoencephalography: Localization
- Nonlinear time series analysis of human alpha rhythm G. Nolte 1 , T. Sander 2 , A. Lueschow 3 , B. A. Pearlmutter 1
- Blind Source Separation by Sparse Decomposition in a Signal Dictionary
- VC Dimension of an Integrate-and-Fire Neuron Anthony M. Zador
- Illusory Percepts from Auditory Adaptation Lucas C. Parra
- Differentiating Functions of the Jacobian with Respect to the Weights
- DRAFT OF July 20, 1995FOR IEEE TRANSACTIONS ON NEURAL NETWORKS 1 Gradient Calculations for Dynamic Recurrent
- Differentiating Functions of the Jacobian with Respect to the Weights
- BLIND SEPARATION OF SOURCES WITH SPARSE REPRESENTATIONS IN A GIVEN SIGNAL DICTIONARY
- Barak Pearlmutter Department of Psychology
- TimeSkew Hebb Rule in a Nonisopotential Neuron Barak A. Pearlmutter \Lambda
- USE YOUR POWERS WISELY: RESOURCE ALLOCATION IN PARALLEL CHANNELS Santiago Jaramillo Barak A. Pearlmutter
- Garbage Collection with Pointers to Individual Cells Barak Pearlmutter
- Neurocomputing 5860 (2004) 613618 www.elsevier.com/locate/neucom
- Fast robust MEG source localization using MLPs Sung Chan Jun, Barak A. Pearlmutter, and Guido Nolte
- Hindawi Publishing Corporation EURASIP Journal on Advances in Signal Processing
- IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING (IN SUBMISSION) 1 Blind Source Separation for the Superconducting
- Results of the Abbadingo One DFA Learning Competition and a New Evidence-Driven
- A New Hypothesis for Sleep: Tuning for Criticality Barak A. Pearlmutter
- Dissecting the cellular contributions to early visual sensory processing deficits in schizophrenia using the VESPA evoked response
- Optimal Coding Predicts Attentional Modulation of Activity in Neural Systems
- To appear in POPL 2007 Lazy Multivariate Higher-Order Forward-Mode AD
- CONVOLUTIVE NON-NEGATIVE MATRIX FACTORISATION WITH SPARSENESS Paul D. O'Grady Barak A. Pearlmutter
- Soft-LOST: EM on a Mixture of Oriented Lines Paul D. O'Grady and Barak A. Pearlmutter
- 786 IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING, VOL. 50, NO. 6, JUNE 2003 MEG Source Localization Using an MLP With a
- Fast accurate MEG source localization using a multilayer perceptron trained with real brain noise
- Fast robust MEG source localization using MLPs Sung Chan Jun, Barak A. Pearlmutter, and Guido Nolte
- LETTER Communicated by Terrence Sejnowski Independent Components of Magnetoencephalography
- Time-Skew Hebb Rule in a Nonisopotential Neuron Barak A. Pearlmutter
- Playing the Matching-Shoulders Lob-Pass Game with Logarithmic Regret
- Oaklisp: an Object-Oriented Scheme withFirstClass Types Kevin J. l,ang and llarak A. Peaflmutter
- Shoji Makino Hiroshi Sawada
- Appears as pages 223-265 (Chapter 8) of Luigi Landini, Vincenzo Positano and Maria Filomena Santarelli (eds) Advanced Image Processing in Magnetic Resonance Imaging, Dekker, book series on Signal
- Independent Components of Magnetoencephalography: Localization and Single-Trial Response Onset Detection
- A 12-Channel, real-time near-infrared spectroscopy instrument for brain-computer interface applications
- Perturbation Confusion and Referential Transparency
- ISSC 2004, Belfast, June 30 -July 2 Hard-LOST: Modified k-Means for Oriented Lines
- Temporally Continuous vs. Clocked Networks Barak A. Pearlmutter
- Dynamic Recurrent Neural Networks Barak A. Pearlmutter
- A Normative Model of Attention: Modulation of Neural Response SANTIAGO JARAMILLO & BARAK A. PEARLMUTTER
- Fast Subject Independent Magnetoencephalographic (MEG) Source Local-ization using an Artificial Neural Network
- TIP #20: Stamp Out Air Air is completely non-biodegradable, and can cause suffocation of marine animals.
- Sparse Representations for the Cocktail Party Problem Hiroki Asari # Barak A. Pearlmutter + Anthony M. Zador #
- LETTER Communicated by Michael Lewicki Blind Source Separation by Sparse Decomposition in a Signal
- Progress in Blind Separation of Magnetoencephalographic Data Barak A. Pearlmutter # Santiago Jaramillo #
- To appear in POPL 2007 First-Class Nonstandard Interpretations by Opening Closures
- Neuronal Predictions of Sparse Linear Representations Barak A. Pearlmutter
- Nonlinear time series analysis of human alpha rhythm , T. Sander2
- Isolating endogenous visuo-spatial attentional effects using the novel visual-evoked spread spectrum analysis
- Sparse Separation: Principles and Tricks Barak A. Pearlmutter # Vamsi K. Potluru #
- Results of the Abbadingo One DFA Learning Competition and a New EvidenceDriven
- SECOND ORDER BLIND SOURCE SEPARATION BY RECURSIVE SPLITTING OF SIGNAL SUBSPACES
- Independent Components of Magnetoencephalography: Localization
- SOFTWARE PLATFORM FOR RAPID PROTOTYPING OF NIRS BRAIN COMPUTER INTERFACING TECHNIQUES
- Discovering Convolutive Speech Phones using Sparseness and Non-Negativity Constraints
- Fast Exact Multiplication by the Hessian Barak A. Pearlmutter
- Shoji Makino Hiroshi Sawada
- Monaural Source Separation using Spectral Cues Barak A. Pearlmutter1
- Algorithmic Differentiation through Convergent Loops Barak A. Pearlmutter
