Areas of interest
- Computational
and Biological Motor Control, Motor Learning, Neural
Networks, Human-Machine Interfaces, Brain Theory,
Robotics.
Semi Popular Introduction

Selected current and recent research activities
- A review about computational motor control – Open
Questions in Computational Motor Control [Karniel 2011]
- See Publication list for
more recent papers describing our current research activities
- A Turing-Like Handshake Test for Motor Intelligence [Karniel
et al 2010]
- A new, simple and accurate method for onset detection
of movement [Botzer and
Karniel 2009] [matlab function]
- Studying the perception of delayed stiffness [Pressman et al.] and its relation to
force and position control [Nisky et al] and
the probing joint [Nisky et al]
as well as adaptation to the boundary location during perception of
stiffness task [Pressman
et al.]
- Applying optimal control techniques to study
trajectory formation, we propose a Minimum acceleration with constraints
criteria for the formation of reaching movements, see Karniel and
Ben-Itzhak Neural Computation 2008 [abstract]
- Exploring perception of and adaptation to delay
during motor control - A BSF funded study with Prof. Mussa-Ivaldi, see
Pressman et al. in press [abstract]
- Studying possible methods
by which the brain may employ direct and indirect mapping as it learns to
control artificial limbs and extended environments, see Leibowitz
and Karniel (2005) [ abstract
]
- Bimanual adaptation and coordination, see Karniel et
al SFN 2003 [abstract] Klaiman and Karniel in press [abstract]
- The Minimum Transition Hypothesis: exploring the
structure of muscle synergies see Karniel et al. NCM 2002 [abstract]
- Exploring motor adaptation to force perturbations.
Some of the questions that we recently addressed concern our ability to
represent time and the issue of multiple models. See Karniel and
Mussa-Ivaldi, Biological Cybernetics (2003) [ abstract ], and Experimental
Brain Research (2002) [ abstract
].
- Exploring the function of the lamprey’s brainstem as
it controls a two-wheeled robot in a closed loop.
Our current studies include modeling the neural network and trying to
induce and observe adaptation. See Karniel et al. SAB workshop (2002) [ abstract ], Kositski et al. (2003)
[paper
pdf]
- Artificial neural networks for control and internal
models for motor control:
1. A correspondence about different types of internal forward models,
Neural Networks (2002) [ abstract ]
2. An analysis of various methods for estimating an inverse model for
control.
See BEI vs. IBE, Neural Networks, 14(9):1153-1159, 2001 [manuscript]
- Rehabilitation: A book review describing the field of
motor control for the physically disabled.
See Karniel 2001(about Popovic and Sinkjaer 2000), Automatica 37:964-967 [manuscript]
- Controlling redundant system with a multiple
controller architecture named PMLE.
The basic architecture and some of the theoretical results have recently
published in Neurocomputing
37:31-49, 2001 . For further details about this architecture
refer to my PhD thesis [pdf of chapters 5-6 ] .
- A summery of my graduate studies that included
demonstration of the role of the nonlinear muscle properties (Karniel and
Inbar 97,99, [ abstract ]) and
exploiting redundancy appeared at WC2000 [abstract]
For further details refer to my publications
list