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What is the role of acetylcholine in mediating the interaction between visual attention and perceptual learning? Proposed by: Matthew Chalk Speaker: Alex Thiele Perceptual learning, where performance in a simple sensory task improves with practice, has usually been thought to occur only when attention is focussed on the stimuli that is to be learned [1]. However, recent psychophysical experiments have suggested not only that learning can occur as a result of exposure to a subliminal stimulus [2], but that there is a complicated interaction between the processes of perceptual learning and attention [3]. While there are indications that the neuromodulator acetylcholine (ACh) plays an important role in both attention and perceptual learning, the molecular basis for the interaction between these two cognitive processes is not understood. Here, I propose to investigate this in experiments where macaque monkeys perform perceptual learning tasks involving motion discrimination of a random-dot image, with and without local blockade of ACh receptors in visual area MT. Training will take place under different states of task-specific attention to the stimulus that is to be learned, using psychophysical paradigms developed by Seitz et. al [2, 3]. Finally, by applying direct stimulation during training to areas of the brain that send cholinergic projections to the visual cortex, I propose to investigate whether these projections are responsible for mediating the interaction between task-specific attention and perceptual learning. Introduction Perceptual learning is the process whereby practice of simple sensory tasks leads to an increase in performance. Such improvements have been shown to be very specific to the trained task: for example, in tasks where participants have to discriminate between small changes in the direction of motion between two stimuli, improvements in performance occur only for the direction of motion for which the training took place [4]. This learning specificity has lead to the assumption that perceptual learning takes place in the early sensory areas where neurons have such specificity, and indeed, electrophysiological studies in the visual cortex have shown changes in the stimulus response properties of neurons in V1, MT and V4 following various different perceptual learning tasks [5–7]. Interestingly, a recent study by Li et. al. [8] found that following training on several different object recognition tasks, the response properties of V1 neurons changed in a way that depended on the perceptual task that was being performed, suggesting that changes in the neural response of early sensory areas during perceptual learning are dependent not only on bottom-up signals relating to the sensory input, but also on top-down influences which relate to the behavioural context and attentional state of the animal. In a series of psychophysical experiments, Seitz and Wanatabe investigated how task-specific attention interacts with and modulates perceptual learning. In one experiment, subjects were required to perform recognition of letters flashed in front of them while in the background a motion signal was displayed, with low coherence so subjects were unaware of the direction of motion. When susequently tested in a motion discrimination task, subjects exhibited an increase in performance in the task only for the direction of motion corresponding to the below threshold stimulus which they had been exposed to previously, suggesting that attention to the stimulus that is being learned is not required for perceptual learning to occur [2]. In a later experiment, where the direction of the background motion signal was allowed to change randomly as each letter was presented, they observed direction specific improvements in motion discrimination only when the ‘target’ letters for the recognition task were consistently paired with one particular direction of motion. To explain this result, the authors proposed that presenting a task-relevant stimulus can give rise to an internal reinforcement signal and lead to learning of the subliminal paired stimulus [3]. One hypothesis is that this reinforcement signal is mediated by neuromodulators such as acetylcholine (ACh) dopamine and noradrenaline, released from sub-cortical brain areas in a task-specific manner, facilitating synaptic plasticity. Indeed, ACh has been implicated to play an important role in both attention [9–11] and perceptual learning [12–14], making it a tempting candidate molecule for such a mechanism. In accordance with this hypothesis, in vitro studies have shown that ACh is capable of enhancing synaptic modification [15] as well as acting to reduce the influence of feedback and intracortical connections relative to afferent feed-forward connections, while in vivo studies have shown that ACh serves to facilitate neuronal responses, alter the orientation tuning curves and increase the synchronization of neurons in visual area V1 during exposure to a visual stimuli [16–18], in a manner that is similair to the affects that are observed with visual attention. Scientific Aims Here, I propose to investigate the role of ACh in mediating the interaction between task-specific attention and perceptual learning. Specifically, by combining tasks based on the psychophysical experiments used by Wanatabe et. al. on human subjects, with localized application of cholinergic antagonists to macaque area MT (which has been shown to be associated with perceptual learning of the direction of motion of a random dot stimulus [5, 19]), it should be possible to test the hypothesis stated above; that ACh released during behavioural states of heightened arousal (as a result of attention to a distractor task) is responsible for perceptual learning of a subthreshold stimuli. The proposed study will be divided into four parts which seek to analyze the role of ACh in perceptual learning during various different states of task-specific attention. In each experiment the effects on learning of local pharmacalogical blockade of muscarinic acetylcholine receptors (mAChR) in macaque visual area MT will be assessed. The first experiment will investigate the effects of ACh on perceptual learning in the case where attention is directed towards the relevant stimulus during training, while the second experiment will look at the case where the monkeys are unaware of the training stimulus (presented as a subthreshold background ‘noise’ during a distractor task). In the third ex- 2 periment the role of ACh in the psychophysical task of Seitz et. al. [3] will be investigated, where pairing of task-relevant target objects in the distractor task with a particular motion direction of the subthreshold stimulus results in perceptual learning for this direction only. In the fourth experiment I propose to try and replicate the hypothesized attentiondependent conditioning signal artificially, by pairing stimulation of brain regions which send cholinergic projections to the visual cortex with particular directions of motion for the subthreshold motion stimulus. Experimental Procedure Initial training: Monkeys will be trained on a task where they have to decide whether two sequentially presented motion stimuli are moving in the same or different directions. Each stimuli consists of a small number of coherently moving (signal) dots, and a larger number of randomly moving (noise) dots. The second stimuli will be moving in the same direction for half the trials, and varied by ±3◦ for the rest. Initial training will be at a high (20%) coherence with the angle of the first motion signal randomized over trials, and will proceed until asymptotically stable performance is achieved. It should be noted that it has been reported that even when monkeys achieve asymptotic performance in this task over many weeks of training, perceptual learning is still possible over short periods of time, as some improvement in performance will occur during the first 500 trials of one session taken alone [5]. Experiment 1: What is the affect of ACh on the perceptual learning of a visual stimulus? At the beginning of a session, task performance (fraction of correct answers) will be tested and plotted as a function of the initial stimulus angle for a on-threshold stimulus and a subthreshold stimulus, with coherence levels c1 and c2 respectively (c1 and c2 will be initialized beforehand). Monkeys will then be trained on the task for a session of around 2000 trials, with a constant direction of motion for the first stimuli and a coherence level equal to c1 . After training, task performance will be tested again and plotted as a function of the initial stimulus angle for both c1 and c2 . For later sessions, mAChR antagonist scopolamine will be infused into visual areas MT during training (using the method of [9]), and performance changes before and after training at different coherence levels and angles of motion will be assessed. Experiment 2: What is the affect of ACh on perceptual learning when the training stimulus is subliminal? Initial performance will be tested as in exp 1. Instead of a training period, there will be an ‘exposure’ period where monkeys perform a task while different objects are flashed in front of them and they have to pull a lever every time a specified ‘target’ object appears. During this task, monkeys will be exposed to a background motion stimulus at below-threshold coherence of c2 moving at a constant angle throughout. Performance changes following the exposure period will be assessed as in exp 1, for both the control situation and the case where scopolamine is infused into MT during the exposure period. Experiment 3: How does ACh affect perceptual learning of a subliminal stimulus as a result of pairing it with a task-relevant stimulus? Initial performance will be tested as in exp 1. The exposure period will proceed similairly to exp 2, except that the direction of the subliminal motion stimulus will be allowed to change randomly for each trial. Subsequent performance changes will be assessed in this case, and in the case when the target objects for recognition are consistently paired with a particular direction of background motion direction during the exposure period. Again, scopolamine will be infused into MT during the exposure period, and its affect on performance changes assessed. Experiment 4: Can this pairing affect be explained by cholinergic projections from the basal forebrain to the visual system? The initial testing and exposure period will be similair to exp 3, except that instead of pairing of target objects with particular subliminal stimulus directions during the exposure period, a particular direction of the background motion stimulus will be paired with electrical stimulation to the mesencephalic reticular formation (MRF), which projects to the visual cortex via cholinergic projections from the basal forebrain (BF). Performance changes following the exposure period will be assessed as before, and in the case where scopolamine is infused into MT during the exposure period. Predicted Results Experiment 1: Before the training period, performance at coherence levels c1 and c2 should be around 75% and 50% respectively for all stimulus angles. From [4], after training, performance at c1 should be improved for the angle corresponding to the angle of motion of the training stimulus only, while it should not have improved for the sub-threshold stimulus c2 . If ACh plays an important role in perceptual learning, then the angle-dependent improvements in performance at c1 should be reduced when ACh blocker is infused into MT. Experiment 2: From [2], after the exposure period, performance at c1 should be improved for the angle corresponding to the angle of motion of the subliminal stimulus, while it should not improve for the sub-threshold stimulus c2 . If ACh is important for mediating perceptual learning even in the absence of attention directed towards the task that is being learned, then there should be a reduction in any performance improvements when mAChR blocker is infused into MT, while if ACh only affects perceptual learning through its role in controlling task-specific attention, mAChR blocker should not affect perceptual learning of a subliminal stimulus. A third alternative is that ACh is released as a result of attention being payed to the distractor task which facilitates learning of the subliminal stimulus, in which case mAChR blockade would also result in a reduction in perceptual learning of the sub-threshold stimulus. Experiment 3: From [3], improvements in performance should only occur at c1 when a specific direction of the target stimulus is paired to target objects during the exposure period. If ACh release is related to the conditioning signal which links attention to target objects to perceptual learning of the corresponding motion direction, then such learning should be reduced on infusion of mAChR blockade. Experiment 4: MRF stimulation has been shown to result in activation of cholinergic projections coming from the BF to the visual cortex [17]. If this cholinergic activation is responsible for providing the conditioning signal that results in learning of subthreshold motion directions paired to taskrelevant stimuli in the distractor task, then by paring direct MRF stimulation with specific motion directions of a subthreshold stimuli, it should be possible to induce perceptual learning for the corresponding motion direction. Conversely, blocking of mAChR in MT by scopolamine should reduce this affect. 3 [1] Gilbert, C. D. Sigman, M. Crist, R. E. 2001. The neural basis of perceptual learning. Neuron [2] Watanabe, T. Nanez, J. E. Sasaki, Y. 2001. Perceptual learning without perception. Nature [3] Seitz, A. 2003. Is subliminal learning really passive? Nature [4] Ball, K. Sekuler, R. 1982. A specific and enduring improvement in visual motion discrimination. Science [5] Zohary, E. Celebrini, S. Britten, K. H. Newsome, W. T. 1994. Neuronal plasticity that underlies improvement in perceptual performance. Science [6] Schoups, A. Vogels, R. Qian, N. Orban, G. 2001. Practising orientation identification improves orientation coding in V1 neurons. Nature [7] Yang, T. Maunsell, J. 2004. The effect of perceptual learning on neuronal responses in monkey visual area V4. The J. of Neruosci. [8] Li, W. Piech, V. Gilbert, C. 2004. Perceptual learning and top-down influences in primary visual cortex. Nature Neurosci. [9] Davidson, M. C. Marrocco, R. T. 2000. Local infusion of scopolamine into intraparietal cortex slows covert orienting in rhesus monkeys. The Americ. Physiol. Soc. [10] Robbins, T. W. 1997. Arousal systems and attentional processes. Biol. Psychol. [11] Dalley, J. W. McGaughy, J. O’Connell, M. T. Cardinal, R. N. Levita, L. Robbins, T. 2001, Distinct changes in cortical acetylcholine and noradedranline during contingent and noncontingent performance of a visual attention task. The J. of Neurosci. [12] Shulz, D. E. Sosnik, R. Ego, V. Haidarliu, S. Ahissar, E. 2000. A neuronal analogue of state-dependent learning. Nature [13] Wilson, D. A. Fletcher, M. L. Sullivan, R. M. 2004. Acetylcholine and olfactory perceptual learning. Learn. Mem. [14] Gold, P. E. 2003. Acetylcholine modulation of neural systems involved in learning and memory. Neurobiol. of Learn. and Mem. [15] Ovsepian, S. V. Anwyl, R. Rowan, M. J. 2004. Endogenous acetylcholine lowers the threshold for long-term potentiation induction in the CA1 area through muscarinic receptor activation: in vivo study. Europ. J. of Neurosci. [16] Disney, A. A. Aoki, C. Hawken, M. 2007. Gain modulation by nicotine in macaque V1. Neuron [17] Rodriguez, R. Kallenbach, U. Singer, W. Munk, M. 2004. Short- and long-term effects of cholinergic modulation on gamma oscillations and response synchronization in the visual cortex. The J. of Neurosci. [18] Zinke, W. Roberts, M. J. Guo, K. McDonald, J. S. Robertson, R. Thiele, A. 2006. Cholinergic modulation of response properties and orientation tuning of neurons in primary visual cortex of anaesthetized marmoset monkeys. Europe. J. of Neurosci. [19] Bisley, J. W. Zaksas, D. Pasternak, T. 2000. Microstimulation of cortical area MT affects performance on a visual working memory task. The Americ. Physiol. Soc.