Biomedical subjects

Jeffery R Wickens

Publications and source records attributed to Jeffery R Wickens.

8 recordsLinked to original sources

PubMed2005

Motor preparation in a memorised delay task.

The effect on reaction time (RT) and movement time (MT) of remembering which one of several targets to move to was investigated in 18 participants who completed 416 trials in each task. On each trial, participants moved their index finger from a central, illuminated switch (the stimulus) to one of eight targets located on the circumference of a 6 cm radius circle. A visual cue (illumination of the target) informed the participant of the appropriate target. In the memorised delay task, the cued target was lit for 300 ms followed by a variable (450-750 ms) foreperiod during which the participant was required to remember the location of the target until the stimulus light was extinguished. In the non-memorised delay task, the target remained lit during the entire foreperiod (750-1050 ms) until the response was completed. At the "go" signal (stimulus light extinguished) participants moved as quickly and accurately as possible to the cued target. Both RT and MT were significantly (p<0.05) longer in the memorised delay task. The increase in RT shows that remembering which target imposed a greater load on motor preparation even though all the information needed for preparing the response was presented in the cue at the beginning of each trial. The increase in MT raises the possibility that movement execution was also programmed during motor preparation.

Adult↗

PubMed2005

Dopamine cells respond to predicted events during classical conditioning: evidence for eligibility traces in the reward-learning network.

Behavioral conditioning of cue-reward pairing results in a shift of midbrain dopamine (DA) cell activity from responding to the reward to responding to the predictive cue. However, the precise time course and mechanism underlying this shift remain unclear. Here, we report a combined single-unit recording and temporal difference (TD) modeling approach to this question. The data from recordings in conscious rats showed that DA cells retain responses to predicted reward after responses to conditioned cues have developed, at least early in training. This contrasts with previous TD models that predict a gradual stepwise shift in latency with responses to rewards lost before responses develop to the conditioned cue. By exploring the TD parameter space, we demonstrate that the persistent reward responses of DA cells during conditioning are only accurately replicated by a TD model with long-lasting eligibility traces (nonzero values for the parameter lambda) and low learning rate (alpha). These physiological constraints for TD parameters suggest that eligibility traces and low per-trial rates of plastic modification may be essential features of neural circuits for reward learning in the brain. Such properties enable rapid but stable initiation of learning when the number of stimulus-reward pairings is limited, conferring significant adaptive advantages in real-world environments.

Action Potentials↗

PubMed2004

The corticostriatal input to giant aspiny interneurons in the rat: a candidate pathway for synchronising the response to reward-related cues.

Tonically active neurons (TANs) in the mammalian striatum show a pause in their ongoing firing activity in response to an auditory cue that is paired with a reward. This response to reward-related cues develops through learning and becomes expressed synchronously by TANs located throughout the striatum. The pause response is abolished by inactivating the thalamic inputs to the striatum but a short-latency excitatory response to reward-related cues remains, which may originate in the cortex. We investigated the cortical inputs to striatal neurons to determine the electrophysiological properties of their cortical projections. We made in vivo intracellular recordings from 14 giant aspiny interneurons (which correspond to the TANs) and from a control group of spiny projection neurons (n=18) in urethane-anaesthetised rats. All giant aspiny interneurons were tonically active (firing rate: 3.0+/-1.5 Hz) and displayed small-amplitude subthreshold fluctuations in membrane potential. These fluctuations in membrane potential were correlated with the cortical electroencephalogram (EEG). Test stimulation of the contralateral cortex induced postsynaptic potentials (PSPs) in giant aspiny interneurons. These PSPs were significantly shorter in latency (5.1+/-1.6 ms) than those measured in spiny projection neurons (9.3+/-2.8 ms; p<0.01), whereas the latencies of ipsilaterally evoked PSPs did not differ. Taken together, these observations suggest that giant aspiny interneurons are under the significant influence of spontaneous excitatory inputs and receive specialised input from either faster conducting or less branching cortical fibres than spiny projection neurons. These inputs may be involved in the synchronised convergence of reward-related cues from spatially distinct cortical areas onto giant aspiny interneurons.

Action Potentials↗

PubMed2004

Computational models of the basal ganglia: from robots to membranes.

With the rapid accumulation of neuroscientific data comes a pressing need to develop models that can explain the computational processes performed by the basal ganglia. Relevant biological information spans a range of structural levels, from the activity of neuronal membranes to the role of the basal ganglia in overt behavioural control. This viewpoint presents a framework for understanding the aims, limitations and methods for testing of computational models across all structural levels. We identify distinct modelling strategies that can deliver important and complementary insights into the nature of problems the basal ganglia have evolved to solve, and describe methods that are used to solve them.

Animals↗

PubMed2003

A state-dependent trigger for electrophysiological recording at predetermined membrane potentials.

This paper describes the circuitry and construction of a novel electronic threshold discriminator, and details its specific application to in vivo intracellular recording. The discriminator reliably triggers electrophysiological recording at pre-selectable membrane potentials in neuronal systems that exhibit membrane potential oscillations. It has been used successfully whilst recording from spiny projection neurons of the striatum to measure membrane properties and trigger electrical stimulation within either of two discrete membrane potential "states". The device works by comparing the analogue membrane potential waveform with a user-defined threshold membrane potential, and outputs a logic signal to flag the occurrence of a threshold-crossing event. This signal is used to trigger the commencement of episodic recording and the application of current injection or electrical stimulation at a consistent membrane potential. Thus, the discriminator acts as a functional clamp to isolate evoked responses from endogenous fluctuations in membrane potential. The unit uses cheap and easily available components and can be constructed with the minimum of electronics experience. It could be adapted to isolate discrete events within any oscillatory system.

Amplifiers, Electronic↗

PubMed2003

Neural mechanisms of reward-related motor learning.

The analysis of the neural mechanisms responsible for reward-related learning has benefited from recent studies of the effects of dopamine on synaptic plasticity. Dopamine-dependent synaptic plasticity may lead to strengthening of selected inputs on the basis of an activity-dependent conjunction of sensory afferent activity, motor output activity, and temporally related firing of dopamine cells. Such plasticity may provide a link between the reward-related firing of dopamine cells and the acquisition of changes in striatal cell activity during learning. This learning mechanism may play a special role in the translation of reward signals into context-dependent response probability or directional bias in movement responses.

Animals↗

PubMed2002

Inhibitory interactions between spiny projection neurons in the rat striatum.

The spiny projection neurons are by far the most numerous type of striatal neuron. In addition to being the principal projection neurons of the striatum, the spiny projection neurons also have an extensive network of local axon collaterals by which they make synaptic connections with other striatal projection neurons. However, up to now there has been no direct physiological evidence for functional inhibitory interactions between spiny projection neurons. Here we present new evidence that striatal projection neurons are interconnected by functional inhibitory synapses. To examine the physiological properties of unitary inhibitory postsynaptic potentials (IPSPs), dual intracellular recordings were made from pairs of spiny projection neurons in brain slices of adult rat striatum. Synaptic interactions were found in 9 of 45 pairs of neurons using averages of 200 traces that were triggered by a single presynaptic action potential. In all cases, synaptic interactions were unidirectional, and no bidirectional interactions were detected. Unitary IPSPs evoked by a single presynaptic action potential had a peak amplitude ranging from 157 to 319 microV in different connections (mean: 277 +/- 46 microV, n = 9). The percentage of failures of single action potentials to evoke a unitary IPSP was estimated and ranged from 9 to 63% (mean: 38 +/- 14%, n = 9). Unitary IPSPs were reversibly blocked by bicuculline (n = 4) and had a reversal potential of -62.4 +/- 0.7 mV (n = 5), consistent with GABA-mediated inhibition. The findings of the present study correlate very well with anatomical evidence for local synaptic connectivity between spiny projection neurons and suggest that lateral inhibition plays a significant role in the information processing operations of the striatum.

Animals↗

PubMedDate not supplied

Dopamine-dependent plasticity of corticostriatal synapses.

Knowledge of the effect of dopamine on corticostriatal synaptic plasticity has advanced rapidly over the last 5 years. We consider this new knowledge in relation to three factors proposed earlier to describe the rules for synaptic plasticity in the corticostriatal pathway. These factors are a phasic increase in dopamine release, presynaptic activity and postsynaptic depolarisation. A function is proposed which relates the amount of dopamine release in the striatum to the modulation of corticostriatal synaptic efficacy. It is argued that this function, and the experimental data from which it arises, are compatible with existing models which associate the reward-related firing of dopamine neurons with changes in corticostriatal synaptic efficacy.

Afferent Pathways↗