Connecting the Brain to Itself through an Emulation
Pilot clinical trials of human patients implanted with devices that can chronically record and stimulate ensembles of hundreds to thousands of individual neurons offer the possibility of expanding the substrate of cognition. Parallel trains of firing rate activity can be delivered in real-time to an...
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2017-06-01
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| Series: | Frontiers in Neuroscience |
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| Online Access: | http://journal.frontiersin.org/article/10.3389/fnins.2017.00373/full |
| _version_ | 1818603287802281984 |
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| author | Mijail D. Serruya |
| author_facet | Mijail D. Serruya |
| author_sort | Mijail D. Serruya |
| collection | DOAJ |
| description | Pilot clinical trials of human patients implanted with devices that can chronically record and stimulate ensembles of hundreds to thousands of individual neurons offer the possibility of expanding the substrate of cognition. Parallel trains of firing rate activity can be delivered in real-time to an array of intermediate external modules that in turn can trigger parallel trains of stimulation back into the brain. These modules may be built in software, VLSI firmware, or biological tissue as in vitro culture preparations or in vivo ectopic construct organoids. Arrays of modules can be constructed as early stage whole brain emulators, following canonical intra- and inter-regional circuits. By using machine learning algorithms and classic tasks known to activate quasi-orthogonal functional connectivity patterns, bedside testing can rapidly identify ensemble tuning properties and in turn cycle through a sequence of external module architectures to explore which can causatively alter perception and behavior. Whole brain emulation both (1) serves to augment human neural function, compensating for disease and injury as an auxiliary parallel system, and (2) has its independent operation bootstrapped by a human-in-the-loop to identify optimal micro- and macro-architectures, update synaptic weights, and entrain behaviors. In this manner, closed-loop brain-computer interface pilot clinical trials can advance strong artificial intelligence development and forge new therapies to restore independence in children and adults with neurological conditions. |
| first_indexed | 2024-12-16T13:20:47Z |
| format | Article |
| id | doaj.art-ca6bd5d95c7649378cc0c93a4b8869a1 |
| institution | Directory Open Access Journal |
| issn | 1662-453X |
| language | English |
| last_indexed | 2024-12-16T13:20:47Z |
| publishDate | 2017-06-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Neuroscience |
| spelling | doaj.art-ca6bd5d95c7649378cc0c93a4b8869a12022-12-21T22:30:21ZengFrontiers Media S.A.Frontiers in Neuroscience1662-453X2017-06-011110.3389/fnins.2017.00373258103Connecting the Brain to Itself through an EmulationMijail D. SerruyaPilot clinical trials of human patients implanted with devices that can chronically record and stimulate ensembles of hundreds to thousands of individual neurons offer the possibility of expanding the substrate of cognition. Parallel trains of firing rate activity can be delivered in real-time to an array of intermediate external modules that in turn can trigger parallel trains of stimulation back into the brain. These modules may be built in software, VLSI firmware, or biological tissue as in vitro culture preparations or in vivo ectopic construct organoids. Arrays of modules can be constructed as early stage whole brain emulators, following canonical intra- and inter-regional circuits. By using machine learning algorithms and classic tasks known to activate quasi-orthogonal functional connectivity patterns, bedside testing can rapidly identify ensemble tuning properties and in turn cycle through a sequence of external module architectures to explore which can causatively alter perception and behavior. Whole brain emulation both (1) serves to augment human neural function, compensating for disease and injury as an auxiliary parallel system, and (2) has its independent operation bootstrapped by a human-in-the-loop to identify optimal micro- and macro-architectures, update synaptic weights, and entrain behaviors. In this manner, closed-loop brain-computer interface pilot clinical trials can advance strong artificial intelligence development and forge new therapies to restore independence in children and adults with neurological conditions.http://journal.frontiersin.org/article/10.3389/fnins.2017.00373/fullbrain-computer interface (BCI)brain machine interfaceorganoidwhole brain emulationmedical devicesartificial intelligence |
| spellingShingle | Mijail D. Serruya Connecting the Brain to Itself through an Emulation Frontiers in Neuroscience brain-computer interface (BCI) brain machine interface organoid whole brain emulation medical devices artificial intelligence |
| title | Connecting the Brain to Itself through an Emulation |
| title_full | Connecting the Brain to Itself through an Emulation |
| title_fullStr | Connecting the Brain to Itself through an Emulation |
| title_full_unstemmed | Connecting the Brain to Itself through an Emulation |
| title_short | Connecting the Brain to Itself through an Emulation |
| title_sort | connecting the brain to itself through an emulation |
| topic | brain-computer interface (BCI) brain machine interface organoid whole brain emulation medical devices artificial intelligence |
| url | http://journal.frontiersin.org/article/10.3389/fnins.2017.00373/full |
| work_keys_str_mv | AT mijaildserruya connectingthebraintoitselfthroughanemulation |