
Emeritus Professor Alan Roberts
B.A.(Cantab.), Ph.D.(Calif.)
Current positions
Emeritus Professor
School of Biological Sciences
Contact
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Research interests
Our strategy is to study a very simple nervous system hoping to understand the basic rules for operation and development. We study the central nervous system of very young Xenopus tadpoles to try to understand how the animal's simple swimming and struggling behaviour arises. First we use high-speed videos to define the responses to sensory stimuli. Then we study how CNS neuronal networks control this behaviour.
We use an immobilised preparation where pairs of CNS neurons can be seen using a water immersion lens, recorded using whole cell patch methods and later examined anatomically using neurobiotin filling. This allows us to examine synaptic interactions and as well as activity in response to natural sensory stimuli. We are currently using a unique measuring microscope to define 3D morphology of CNS neurons.
We are interested in overall organisation of neuronal control systems and the cellular and synaptic properties that underlie this. We use computer network models to evaluate our findings and are presently trying to build a self-assembling anatomical CNS model of the tadpole's CNS with support from BBSRC.
Group webpage: http://www.bristol.ac.uk/biology/research/behaviour/xenopus/
Publications
Recent publications
01/09/2021Four childhood atopic dermatitis subtypes identified from trajectory and severity of disease and internally validated in a large UK birth cohort
British Journal of Dermatology
The decision to move
Proceedings of the Royal Society B: Biological Sciences
A simple decision to move in response to touch reveals basic sensory memory and mechanisms for variable response times
Journal of Physiology
Zebrafish transgenic constructs label specific neurons in Xenopus laevis spinal cord and identify frog V0v spinal neurons
Developmental Neurobiology
Modelling Feedback Excitation, Pacemaker Properties and Sensory Switching of Electrically Coupled Brainstem Neurons Controlling Rhythmic Activity
PLoS Computational Biology