Avis H. Cohen

According to our database1, Avis H. Cohen authored at least 16 papers between 1998 and 2012.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2012
Dynamical Systems Guided Design and Analysis of Silicon Oscillators for Central Pattern Generators.
IEEE Trans. Circuits Syst. I Regul. Pap., 2012

2008
On the derivation and tuning of phase oscillator models for lamprey central pattern generators.
J. Comput. Neurosci., 2008

2007
Adaptive Dynamic Walking of a Quadruped Robot on Natural Ground Based on Biological Concepts.
Int. J. Robotics Res., 2007

2006
Dynamic control of the central pattern generator for locomotion.
Biol. Cybern., 2006

Dynamic control of spinal locomotion circuits.
Proceedings of the International Symposium on Circuits and Systems (ISCAS 2006), 2006

2003
Estimating the Strength and Direction of Functional Coupling in the Lamprey Spinal Cord.
J. Comput. Neurosci., 2003

Adaptive Dynamic Walking of a Quadruped Robot on Irregular Terrain Based on Biological Concepts.
Int. J. Robotics Res., 2003

An in silico central pattern generator: silicon oscillator, coupling, entrainment, and physical computation.
Biol. Cybern., 2003

2002
A model of limbed locomotion for a four muscle system.
Neurocomputing, 2002

2001
Control of a robot leg with an adaptive aVLSI CPG chip.
Neurocomputing, 2001

2000
Modeling Alternation to Synchrony with Inhibitory Coupling: A Neuromorphic VLSI Approach.
Neural Comput., 2000

Symbolic time-series analysis of neural data.
Neurocomputing, 2000

Toward Biomorphic Control Using Custom aVLSI CPG Chips.
Proceedings of the 2000 IEEE International Conference on Robotics and Automation, 2000

1999
Stable lamprey swimming on a skeleton of unstable periodic orbits.
Neurocomputing, 1999

Sensorimotor Interactions During Locomotion: Principles Derived from Biological Systems.
Auton. Robots, 1999

1998
Estimation of Coupling Strength in Regenerated Lamprey Spinal Cords Based on a Stochastic Phase Model.
J. Comput. Neurosci., 1998


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