Biology subjects

Parga, N.

Publications and source records attributed to Parga, N..

7 recordsLinked to original sources

bioRxiv2025

Emergence of Value and Action Codes in Bimodular Spiking Actor-Critic Networks

Decision-making depends on coordinated computations distributed across dorsal and ventral circuits, often described as actor-critic systems. We examined how this division of labor gives rise to value- and decision-related representations by training a bimodular recurrent network on an economic choice task and transferring it to an expanded gated spiking model that preserved its latent dynamics while stabilizing the underlying neural representations. The two modules assumed complementary roles: the actor encoded action-value differences and spatial contingencies required for selecting between actions, whereas the critic represented object values predictive of reward. Neurons across modules were selective for object, action, total, and difference values, supporting decision- and confidence-related activity. Low-dimensional analyses revealed structured trajectories reflecting temporal evolution, spatial configuration, and value-dependent divergence. These results clarify how distributed circuits can jointly implement valuation and action selection, providing a foundation for linking reinforcement-trained recurrent models with anatomically inspired dorsal-ventral frameworks.

neuroscience↗

bioRxiv2025

Early Emergence of Perceptual Biases in Working Memory

Working memory (WM) is distributed across multiple cortical areas, suggesting that behaviors relying on WM arise from interactions between these regions. In a recent study, we found that during delayed comparison tasks, the first stimulus is not represented veridically in the prefrontal cortex (PFC), but instead is encoded in a systematically warped manner--biased toward the mean of the stimulus distribution. This neural distortion, which emerges already during the stimulus presentation and persists throughout the delay period, closely mirrors a contraction bias observed in behavior. Furthermore, the behavioral responses could be explained by a Bayesian observer model, in which the brain integrates prior expectations with noisy sensory inputs. These results suggest that the geometry of PFC neural trajectories embodies Bayesian estimates that underlie biased decisions. Here, we investigate whether the secondary somatosensory cortex (S2)--a lower-level sensory area also implicated in tactile WM--exhibits a similar encoding structure. Our analyses reveal that although WM-related signals in S2 are less robust than in PFC, the neural state space in S2 shares key geometric features with that of PFC, including a similarly warped representation of stimulus values. These findings suggest that perceptual biases may originate early in the cortical processing stream and are not exclusively shaped by higher-order associative areas. More broadly, our results support a distributed organization of WM, in which even sensory areas contribute to the formation of bias-prone representations that guide behavior.

neuroscience↗

bioRxiv2023

Prefrontal Cortex Neural Correlates of the Contraction Bias in Frequency Discrimination

Perception is influenced by sensory stimulation, prior knowledge, and contextual cues, which collectively contribute to the emergence of perceptual biases. However, the precise neural mechanisms underlying these biases remain poorly understood. This study aims to address this gap by analyzing neural recordings from the prefrontal cortex (PFC) of monkeys performing a vibrotactile frequency discrimination task. Our findings provide empirical evidence supporting the hypothesis that perceptual biases can be reflected in the neural activity of the PFC. We found that the state-space trajectories of PFC neuronal activity encoded a warped representation of the first frequency presented during the task. Remarkably, this distorted representation of the frequency aligned with the predictions of its Bayesian estimator. The identification of these neural correlates expands our understanding of the neural basis of perceptual biases and highlights the involvement of the PFC in shaping perceptual experiences. Similar analyses could be employed in other delayed comparison tasks and in various brain regions to explore where and how neural activity reflects perceptual biases during different stages of the trial.

neuroscience↗

bioRxiv2022

Emergent perceptual biases from state-space geometry in spiking recurrent neural networks trained to discriminate time intervals

A stimulus held in working memory is perceived as contracted towards the average stimulus. This contraction bias has been extensively studied in psychophysics, but little is known about its origin from neural activity. By training recurrent networks of spiking neurons to discriminate temporal intervals, we explored the causes of this bias and how behavior relates to population firing activity. We found that the trained networks exhibited animal-like behavior. Various geometric features of neural trajectories in state space encoded warped representations of the durations of the first interval modulated by sensory history. Formulating a novel normative model, we showed that these representations conveyed a Bayesian estimate of the interval durations, thus relating activity and behavior. Importantly, our findings demonstrate that Bayesian computations already occur during the sensory phase of the first stimulus and persist throughout its maintenance in working memory, until the time of stimulus comparison.

neuroscience↗

bioRxiv2020

Midbrain dopamine firing activity codes reward expectation and motivation in a parametric working memory task

Little is known about how dopamine (DA) neuron firing rates behave in cognitively demanding decision-making tasks. Here we investigated midbrain DA activity in monkeys performing a discrimination task in which the animal had to use working memory (WM) to report which of two sequentially applied vibrotactile stimuli had the higher frequency. We found that perception was altered by an internal bias, likely generated by deterioration of the representation of the first frequency during the WM period. This bias greatly controlled the DA phasic response during the two stimulation periods, confirming that DA reward prediction errors reflected subjective stimulus perception. Contrastingly, tonic dopamine activity during WM was not affected by the bias and did not encode the stored frequency. More interestingly, both WM activity and phasic responses before the second stimulus negatively correlated with reaction times of the animal after the trial start cue and thus represented motivated behavior on a trial-by-trial basis. During WM, this motivation signal underwent a ramp-like increase. At the same time, motivation reduced noise in perception and, by decreasing the effect of the bias, improved performance, especially in difficult trials. Overall, our results show that DA activity was simultaneously involved in reward prediction, motivation and WM. Also, the ramping activity during the WM period suggests a possible DA role in stabilizing sustained cortical activity, hypothetically by increasing the gain communicated to prefrontal neurons in a motivation-dependent way.

neuroscience↗

bioRxiv2019

Modulation of cortical slow oscillatory rhythm by GABAB receptors: an experimental and computational study

Slow wave oscillations (SWO) dominate cortical activity during deep sleep, anesthesia and in some brain lesions. SWO consist of Up states or periods of activity interspersed with Down states or periods of silence. The rhythmicity expressed during SWO integrates neuronal and connectivity properties of the network and it is often altered in neurological pathological conditions. Different mechanisms have been proposed to drive the transitions between Up and Down states, in particular, adaptation mechanisms have been proposed to contribute to the Up-to-Down transition. Synaptic inhibition, and specially GABAB receptors, have also been proposed to have a role in the termination of Up states. The interplay between these two potential mechanisms, adaptation and inhibition, is not well understood and the role of slow inhibition is not yet clear regarding the full cycle of the slow oscillatory rhythm. Here we contribute to its understanding by combining experimental and computational techniques. GABAB receptors-blockade not only elongated Up states, but also affected the subsequent Down states, and thus the whole cycle of the oscillations. Furthermore, while adaptation tends to yield a rather regular behavior, GABAB receptors-blockade decreased the variability of the sequence of Up and Down states. Interestingly, variability changes could be accomplished in two different ways: either accompanied by a shortening or by a lengthening of the duration of the Down state. Even when the most common observation is the lengthening of the Down states, both changes are expressed experimentally and also in numerical simulations. Our simulations suggest that the sluggishness of GABAB receptors to follow the excitatory fluctuations of the cortical network can explain these different network dynamics modulated by GABAB receptors.

neuroscience↗

bioRxiv2018

Internal bias controls dopamine perceptual decision-related responses

Dopamine neurons produce reward-related signals that regulate learning and guide behavior. Prior expectations about forthcoming stimuli and internal biases can alter perception and choices and thus could influence dopamine signaling. We tested this hypothesis studying dopamine neurons recorded in monkeys trained to discriminate between two tactile frequencies separated by a delay period, a task affected by the contraction bias. The bias greatly controlled the animals choices and confidence on their decisions. During decision formation the phasic activity reflected bias-induced modulations and simultaneously coded reward prediction errors. In contrast, the activity during the delay period was not affected by the bias, was not tuned to the value of the stimuli but was temporally modulated, pointing to a role different from that of the phasic activity.

neuroscience↗