On the variability of manual spike sorting

The analysis of action potentials, or "spikes," is central to systems neuroscience research. Spikes are typically identified from raw waveforms manually for off-line analysis or automatically by human-configured algorithms for on-line applications. The variability of manual spike "sorting" is studied and its implications for neural prostheses discussed. Waveforms were recorded using a micro-electrode array and were used to construct a statistically similar synthetic dataset. Results showed wide variability in the number of neurons and spikes detected in real data. Additionally, average error rates of 23% false positive and 30% false negative were found for synthetic data.

[1]  Gilbert Strang,et al.  Introduction to applied mathematics , 1988 .

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

[3]  Michael S. Lewicki,et al.  Bayesian Modeling and Classification of Neural Signals , 1993, Neural Computation.

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

[5]  Partha P. Mitra,et al.  Automatic sorting of multiple unit neuronal signals in the presence of anisotropic and non-Gaussian variability , 1996, Journal of Neuroscience Methods.

[6]  Richard A. Andersen,et al.  On the Separation of Signals from Neighboring Cells in Tetrode Recordings , 1997, NIPS.

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

[8]  M. Nicolelis,et al.  Reconstructing the Engram: Simultaneous, Multisite, Many Single Neuron Recordings , 1997, Neuron.

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

[10]  E N Brown,et al.  A Statistical Paradigm for Neural Spike Train Decoding Applied to Position Prediction from Ensemble Firing Patterns of Rat Hippocampal Place Cells , 1998, The Journal of Neuroscience.

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

[12]  Carole Pegg.  Recordings , 1949, Tempo.

[13]  J. Csicsvari,et al.  Accuracy of tetrode spike separation as determined by simultaneous intracellular and extracellular measurements. , 2000, Journal of neurophysiology.

[14]  Bagrat Amirikian,et al.  Directional tuning profiles of motor cortical cells , 2000, Neuroscience Research.

[15]  Sung June Kim,et al.  Neural spike sorting under nearly 0-dB signal-to-noise ratio using nonlinear energy operator and artificial neural-network classifier , 2000, IEEE Transactions on Biomedical Engineering.

[16]  Michael J. Black,et al.  Probabilistic Inference of Hand Motion from Neural Activity in Motor Cortex , 2001, NIPS.

[17]  Robert E. Kass,et al.  A Spike-Train Probability Model , 2001, Neural Computation.

[18]  Dawn M. Taylor,et al.  Direct Cortical Control of 3D Neuroprosthetic Devices , 2002, Science.

[19]  Nicholas G. Hatsopoulos,et al.  Brain-machine interface: Instant neural control of a movement signal , 2002, Nature.

[20]  R. Segev,et al.  A method for spike sorting and detection based on wavelet packets and Shannon's mutual information , 2002, Journal of Neuroscience Methods.

[21]  Wei Wu,et al.  Neural Decoding of Cursor Motion Using a Kalman Filter , 2002, NIPS.

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

[23]  Shy Shoham,et al.  Robust clustering by deterministic agglomeration EM of mixtures of multivariate t-distributions , 2002, Pattern Recognit..

[24]  Yoshio Sakurai,et al.  Automatic sorting for multi-neuronal activity recorded with tetrodes in the presence of overlapping spikes. , 2003, Journal of neurophysiology.

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

[26]  R. Andersen,et al.  Properties of spike train spectra in two parietal reach areas , 2003, Experimental Brain Research.

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

[28]  L. Paninski,et al.  Spatiotemporal tuning of motor cortical neurons for hand position and velocity. , 2004, Journal of neurophysiology.