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Keywords
(6)
a priori knowledge
Functional Connectivity
Multi Electrode Array
Networked Learning
Training Algorithm
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Spatio-temporal electrical stimuli shape behavior of an embodied cortical network in a goal-directed learning task
Spatio-temporal electrical stimuli shape behavior of an embodied cortical network in a goal-directed learning task,10.1088/1741-2560/5/3/004,Journal o
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Spatio-temporal electrical stimuli shape behavior of an embodied cortical network in a goal-directed learning task
(
Citations: 12
)
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Douglas J Bakkum
,
Zenas C Chao
,
Steve M Potter
We developed an adaptive training algorithm, whereby an in vitro neocortical network learned to modulate its dynamics and achieve pre-determined activity states within tens of minutes through the application of patterned training stimuli using a multi-electrode array.
A priori knowledge
of
functional connectivity
was not necessary. Instead, effective training sequences were continuously discovered and refined based on real-time feedback of performance. The short-term neural dynamics in response to training became engraved in the network, requiring progressively fewer training stimuli to achieve successful behavior in a movement task. After 2 h of training, plasticity remained significantly greater than the baseline for 80 min (p-value <0.01). Interestingly, a given sequence of effective training stimuli did not induce significant plasticity (p-value = 0.82) or desired behavior, when replayed to the network and no longer contingent on feedback. Our results encourage an in vivo investigation of how targeted multi-site artificial stimulation of the brain, contingent on the activity of the body or even of the brain itself could treat neurological disorders by gradually shaping functional connectivity.Corrections were made to this article on 27 August 2008. Changes were made to affiliation 3, and to figure 2. The corrected electronic version is identical to the print version.
Journal:
Journal of Neural Engineering - J NEURAL ENG
, vol. 5, no. 3, pp. 310-323, 2008
DOI:
10.1088/1741-2560/5/3/004
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Citation Context
(8)
...,
...
Julia H. Downes
,
et al.
Emergence of a Small-World Functional Network in Cultured Neurons
...However, while inducing a particular state in culture prior to stimulation has been shown to improve its responsiveness to input stimuli [
15
], such an enforced state change may have unforeseen consequences as the resulting state changes may persist for extended periods [8], [16]...
...Consequently, while abnormal burst suppression may be a necessary feature for the induction of persistent plastic changes within a closed-loop system [
15
], spontaneous burst analysis may also reveal important facets underlying biological mechanisms that drive neuronal activity and how these could pertain to information processing by in vivo networks...
Dimitris Xydas
,
et al.
Revealing Ensemble State Transition Patterns in Multi-Electrode Neuron...
...Past research by the authors includes the use of multi-electrode stimuli to train an LNN to control the behavior of a simulated animal (animat) in a goal-directed navigation task [
2
]...
...USA) wereenzymatically and mechanically dissociated to obtain a target density of approximately 2500 cell/μL of medium and then layered onto laminin-coated 60electrode (59 recording/stimulation electrodes plus one ground) Multichannel Systems MEAs (30 μm diameter titanium nitride electrodes in a square grid with 200 μm spacing) [
2
]...
Robert L. Ortman
,
et al.
Input Separability in Living Liquid State Machines
...We applied OFs to HD-MEA data recorded from dissociated cortical neurons from embryonic rats, as described in [
9
]...
David Jackel
,
et al.
High-density microelectrode array system and optimal filtering for clo...
...Feedback control of network behavior has been demonstrated [
90
]...
Bruce C. Wheeler
,
et al.
Designing Neural Networks in Culture
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Citations
(12)
Emergence of a Small-World Functional Network in Cultured Neurons
Julia H. Downes
,
Mark W. Hammond
,
Dimitris Xydas
,
Matthew C. Spencer
,
Victor M. Becerra
,
Kevin Warwick
,
Ben J. Whalley
,
Slawomir J. Nasuto
Journal:
PLOS Computational Biology - PLOS COMPUT BIOL
, vol. 8, no. 5, 2012
Growing Cells Atop Microelectronic Chips: Interfacing Electrogenic Cells In Vitro With CMOS-Based Microelectrode Arrays
(
Citations: 1
)
Andreas Hierlemann
,
Urs Frey
,
Sadik Hafizovic
,
Flavio Heer
Journal:
Proceedings of The IEEE - PIEEE
, vol. 99, no. 2, pp. 252-284, 2011
Revealing Ensemble State Transition Patterns in Multi-Electrode Neuronal Recordings Using Hidden Markov Models
Dimitris Xydas
,
Julia H. Downes
,
Matthew C. Spencer
,
Mark W. Hammond
,
Slawomir J. Nasuto
,
Benjamin J. Whalley
,
Victor M. Becerra
,
Kevin Warwick
Journal:
IEEE Transactions on Neural Systems and Rehabilitation Engineering - IEEE TRANS NEURAL SYST REH EN
, vol. 19, no. 4, pp. 345-355, 2011
Input Separability in Living Liquid State Machines
Robert L. Ortman
,
Kumar Venayagamoorthy
,
Steve M. Potter
Conference:
International Conference on Adaptive and Natural Computing Algorithms - ICANNGA
, pp. 220-229, 2011
High-density microelectrode array system and optimal filtering for closed-loop experiments
David Jackel
,
Jan Muller
,
Muhammad Usman Khalid
,
Urs Frey
,
Douglas Bakkum
,
Andreas Hierlemann
Conference:
International Conference on Solid State Sensors and Actuators - TRANSDUCERS
, pp. 1200-1203, 2011