Identification of network-level coding units for real-time representation of episodic experiences in the hippocampus. - SUPPLEMENTARY MATERIAL Export

@article{citeulike:1559210, abstract = {To examine the network-level organizing principles by which the brain achieves its real-time encoding of episodic information, we have developed a 96-channel array to simultaneously record the activity patterns of as many as 260 individual neurons in the mouse hippocampus during various startling episodes. We find that the mnemonic startling episodes triggered firing changes in a set of CA1 neurons in both startle-type and environment-dependent manners. Pattern classification methods reveal that these firing changes form distinct ensemble representations in a low-dimensional encoding subspace. Application of a sliding window technique further enabled us to reliably capture not only the temporal dynamics of real-time network encoding but also postevent processing of newly formed ensemble traces. Our analyses revealed that the network-encoding power is derived from a set of functional coding units, termed neural cliques, in the CA1 network. The individual neurons within neural cliques exhibit "collective cospiking" dynamics that allow the neural clique to overcome the response variability of its members and to achieve real-time encoding robustness. Conversion of activation patterns of these coding unit assemblies into a set of real-time digital codes permits concise and universal representation and categorization of discrete behavioral episodes across different individual brains.}, address = {Center for Systems Neurobiology, Departments of Pharmacology and Biomedical Engineering, Boston University, Boston, MA 02118, USA.}, author = {Lin, L. and Osan, R. and Shoham, S. and Jin, W. and Zuo, W. and Tsien, J. Z.}, citeulike-article-id = {1559210}, citeulike-linkout-0 = {http://www.pnas.org/cgi/content/full/0408233102/DC1}, comment = {Online supllementary material}, day = {26}, journal = {Proc Natl Acad Sci U S A}, keywords = {cogsci, neuro, representation}, month = {April}, number = {17}, pages = {6125--6130}, posted-at = {2007-08-14 01:42:02}, priority = {0}, title = {Identification of network-level coding units for real-time representation of episodic experiences in the hippocampus. - SUPPLEMENTARY MATERIAL}, url = {http://www.pnas.org/cgi/content/full/0408233102/DC1}, volume = {102}, year = {2005} }

TY - JOUR ID - citeulike:1559210 L3 - citeulike-article-id:1559210 N2 - To examine the network-level organizing principles by which the brain achieves its real-time encoding of episodic information, we have developed a 96-channel array to simultaneously record the activity patterns of as many as 260 individual neurons in the mouse hippocampus during various startling episodes. We find that the mnemonic startling episodes triggered firing changes in a set of CA1 neurons in both startle-type and environment-dependent manners. Pattern classification methods reveal that these firing changes form distinct ensemble representations in a low-dimensional encoding subspace. Application of a sliding window technique further enabled us to reliably capture not only the temporal dynamics of real-time network encoding but also postevent processing of newly formed ensemble traces. Our analyses revealed that the network-encoding power is derived from a set of functional coding units, termed neural cliques, in the CA1 network. The individual neurons within neural cliques exhibit "collective cospiking" dynamics that allow the neural clique to overcome the response variability of its members and to achieve real-time encoding robustness. Conversion of activation patterns of these coding unit assemblies into a set of real-time digital codes permits concise and universal representation and categorization of discrete behavioral episodes across different individual brains. IS - 17 JF - Proc Natl Acad Sci U S A AD - Center for Systems Neurobiology, Departments of Pharmacology and Biomedical Engineering, Boston University, Boston, MA 02118, USA. EP - 6130 TI - Identification of network-level coding units for real-time representation of episodic experiences in the hippocampus. - SUPPLEMENTARY MATERIAL VL - 102 SP - 6125 KW - cogsci KW - neuro KW - representation N1 - Online supllementary material AU - Lin, L AU - Osan, R AU - Shoham, S AU - Jin, W AU - Zuo, W AU - Tsien, JZ PY - 2005/04/26/ UR - http://www.pnas.org/cgi/content/full/0408233102/DC1 ER -