Literature DB >> 22438334

A nonlinear model for hippocampal cognitive prosthesis: memory facilitation by hippocampal ensemble stimulation.

Robert E Hampson1, Dong Song, Rosa H M Chan, Andrew J Sweatt, Mitchell R Riley, Gregory A Gerhardt, Dae C Shin, Vasilis Z Marmarelis, Theodore W Berger, Samuel A Deadwyler.   

Abstract

Collaborative investigations have characterized how multineuron hippocampal ensembles encode memory necessary for subsequent successful performance by rodents in a delayed nonmatch to sample (DNMS) task and utilized that information to provide the basis for a memory prosthesis to enhance performance. By employing a unique nonlinear dynamic multi-input/multi-output (MIMO) model, developed and adapted to hippocampal neural ensemble firing patterns derived from simultaneous recorded CA1 and CA3 activity, it was possible to extract information encoded in the sample phase necessary for successful performance in the nonmatch phase of the task. The extension of this MIMO model to online delivery of electrical stimulation delivered to the same recording loci that mimicked successful CA1 firing patterns, provided the means to increase levels of performance on a trial-by-trial basis. Inclusion of several control procedures provides evidence for the specificity of effective MIMO model generated patterns of electrical stimulation. Increased utility of the MIMO model as a prosthesis device was exhibited by the demonstration of cumulative increases in DNMS task performance with repeated MIMO stimulation over many sessions on both stimulation and nonstimulation trials, suggesting overall system modification with continued exposure. Results reported here are compatible with and extend prior demonstrations and further support the candidacy of the MIMO model as an effective cortical prosthesis.

Entities:  

Mesh:

Year:  2012        PMID: 22438334      PMCID: PMC3397311          DOI: 10.1109/TNSRE.2012.2189163

Source DB:  PubMed          Journal:  IEEE Trans Neural Syst Rehabil Eng        ISSN: 1534-4320            Impact factor:   3.802


  72 in total

1.  Distribution of spatial and nonspatial information in dorsal hippocampus.

Authors:  R E Hampson; J D Simeral; S A Deadwyler
Journal:  Nature       Date:  1999-12-09       Impact factor: 49.962

Review 2.  Differential information processing by hippocampal and subicular neurons.

Authors:  R E Hampson; T Hedberg; S A Deadwyler
Journal:  Ann N Y Acad Sci       Date:  2000-06       Impact factor: 5.691

3.  Functional network reorganization during learning in a brain-computer interface paradigm.

Authors:  Beata Jarosiewicz; Steven M Chase; George W Fraser; Meel Velliste; Robert E Kass; Andrew B Schwartz
Journal:  Proc Natl Acad Sci U S A       Date:  2008-12-01       Impact factor: 11.205

4.  Parametric and non-parametric modeling of short-term synaptic plasticity. Part II: Experimental study.

Authors:  Dong Song; Zhuo Wang; Vasilis Z Marmarelis; Theodore W Berger
Journal:  J Comput Neurosci       Date:  2008-05-27       Impact factor: 1.621

5.  Parametric and non-parametric modeling of short-term synaptic plasticity. Part I: Computational study.

Authors:  Dong Song; Vasilis Z Marmarelis; Theodore W Berger
Journal:  J Comput Neurosci       Date:  2008-05-28       Impact factor: 1.621

6.  NMDA receptor involvement in spatial delayed alternation in developing rats.

Authors:  Deborah J Watson; Mariel R Herbert; Mark E Stanton
Journal:  Behav Neurosci       Date:  2009-02       Impact factor: 1.912

7.  Hippocampal network dynamics constrain the time lag between pyramidal cells across modified environments.

Authors:  Kamran Diba; György Buzsáki
Journal:  J Neurosci       Date:  2008-12-10       Impact factor: 6.167

8.  Extracellular proteolysis by matrix metalloproteinase-9 drives dendritic spine enlargement and long-term potentiation coordinately.

Authors:  Xiao-bin Wang; Ozlem Bozdagi; Jessica S Nikitczuk; Zu Wei Zhai; Qiang Zhou; George W Huntley
Journal:  Proc Natl Acad Sci U S A       Date:  2008-12-01       Impact factor: 11.205

9.  Internally generated cell assembly sequences in the rat hippocampus.

Authors:  Eva Pastalkova; Vladimir Itskov; Asohan Amarasingham; György Buzsáki
Journal:  Science       Date:  2008-09-05       Impact factor: 47.728

10.  Direct control of paralysed muscles by cortical neurons.

Authors:  Chet T Moritz; Steve I Perlmutter; Eberhard E Fetz
Journal:  Nature       Date:  2008-10-15       Impact factor: 49.962

View more
  20 in total

Review 1.  Implantable neurotechnologies: bidirectional neural interfaces--applications and VLSI circuit implementations.

Authors:  Elliot Greenwald; Matthew R Masters; Nitish V Thakor
Journal:  Med Biol Eng Comput       Date:  2016-01-11       Impact factor: 2.602

2.  Facilitation and restoration of cognitive function in primate prefrontal cortex by a neuroprosthesis that utilizes minicolumn-specific neural firing.

Authors:  Robert E Hampson; Greg A Gerhardt; Vasilis Marmarelis; Dong Song; Ioan Opris; Lucas Santos; Theodore W Berger; Sam A Deadwyler
Journal:  J Neural Eng       Date:  2012-09-13       Impact factor: 5.379

3.  A nonlinear autoregressive Volterra model of the Hodgkin-Huxley equations.

Authors:  Steffen E Eikenberry; Vasilis Z Marmarelis
Journal:  J Comput Neurosci       Date:  2012-08-10       Impact factor: 1.621

4.  A cognitive prosthesis for memory facilitation by closed-loop functional ensemble stimulation of hippocampal neurons in primate brain.

Authors:  Sam A Deadwyler; Robert E Hampson; Dong Song; Ioan Opris; Greg A Gerhardt; Vasilis Z Marmarelis; Theodore W Berger
Journal:  Exp Neurol       Date:  2016-05-24       Impact factor: 5.330

5.  A hippocampal cognitive prosthesis: multi-input, multi-output nonlinear modeling and VLSI implementation.

Authors:  Theodore W Berger; Dong Song; Rosa H M Chan; Vasilis Z Marmarelis; Jeff LaCoss; Jack Wills; Robert E Hampson; Sam A Deadwyler; John J Granacki
Journal:  IEEE Trans Neural Syst Rehabil Eng       Date:  2012-03       Impact factor: 3.802

6.  Nonlinear modeling of dynamic interactions within neuronal ensembles using Principal Dynamic Modes.

Authors:  Vasilis Z Marmarelis; Dae C Shin; Dong Song; Robert E Hampson; Sam A Deadwyler; Theodore W Berger
Journal:  J Comput Neurosci       Date:  2012-07-20       Impact factor: 1.621

7.  Neurons and networks organizing and sequencing memories.

Authors:  Sam A Deadwyler; Theodore W Berger; Ioan Opris; Dong Song; Robert E Hampson
Journal:  Brain Res       Date:  2014-12-29       Impact factor: 3.252

8.  Facilitation of memory encoding in primate hippocampus by a neuroprosthesis that promotes task-specific neural firing.

Authors:  Robert E Hampson; Dong Song; Ioan Opris; Lucas M Santos; Dae C Shin; Greg A Gerhardt; Vasilis Z Marmarelis; Theodore W Berger; Sam A Deadwyler
Journal:  J Neural Eng       Date:  2013-11-12       Impact factor: 5.379

9.  Design of optimal stimulation patterns for neuronal ensembles based on Volterra-type hierarchical modeling.

Authors:  V Z Marmarelis; D C Shin; R E Hampson; S A Deadwyler; D Song; T W Berger
Journal:  J Neural Eng       Date:  2012-10-17       Impact factor: 5.379

10.  On parsing the neural code in the prefrontal cortex of primates using principal dynamic modes.

Authors:  V Z Marmarelis; D C Shin; D Song; R E Hampson; S A Deadwyler; T W Berger
Journal:  J Comput Neurosci       Date:  2013-08-09       Impact factor: 1.621

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.