IBYME   02675
INSTITUTO DE BIOLOGIA Y MEDICINA EXPERIMENTAL
Unidad Ejecutora - UE
congresos y reuniones científicas
Título:
A wavelet approach for on-line spike sorting in tetrode recordings
Autor/es:
E. DE BENEDETTI, S.E. LEW AND B.S. ZANUTTO
Lugar:
Buenos Aires
Reunión:
Congreso; 32nd Annual International Conference of the IEEE EMBS; 2010
Institución organizadora:
IEEE
Resumen:
Abstract A new method for spike sorting of tetrode
recordings during data acquisition is introduced. For each
tetrode channel, putative spikes are detected by means of a
threshold, and then convolved with a cascade of wavelet filters.
These transformed putative spikes are averaged and this
average is used as a matched filter to find portions of signals
that are likely to contain a spike. A collection of vectors
containing the correlation coefficients between putative spikes
and the matched filters is then clustered using K-Means.
Centroids of the resulting clusters contain enough information
to sort spikes recorded by all tetrode channels simultaneously.
On-line sorting is achieved by measuring euclidean distance
between putative new spikes and the cluster centroids. A new method for spike sorting of tetrode
recordings during data acquisition is introduced. For each
tetrode channel, putative spikes are detected by means of a
threshold, and then convolved with a cascade of wavelet filters.
These transformed putative spikes are averaged and this
average is used as a matched filter to find portions of signals
that are likely to contain a spike. A collection of vectors
containing the correlation coefficients between putative spikes
and the matched filters is then clustered using K-Means.
Centroids of the resulting clusters contain enough information
to sort spikes recorded by all tetrode channels simultaneously.
On-line sorting is achieved by measuring euclidean distance
between putative new spikes and the cluster centroids.