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1.
Nature ; 605(7909): 232-233, 2022 05.
Article in English | MEDLINE | ID: mdl-35484345
2.
Elife ; 102021 07 29.
Article in English | MEDLINE | ID: mdl-34323690

ABSTRACT

A cornerstone of theoretical neuroscience is the circuit model: a system of equations that captures a hypothesized neural mechanism. Such models are valuable when they give rise to an experimentally observed phenomenon -- whether behavioral or a pattern of neural activity -- and thus can offer insights into neural computation. The operation of these circuits, like all models, critically depends on the choice of model parameters. A key step is then to identify the model parameters consistent with observed phenomena: to solve the inverse problem. In this work, we present a novel technique, emergent property inference (EPI), that brings the modern probabilistic modeling toolkit to theoretical neuroscience. When theorizing circuit models, theoreticians predominantly focus on reproducing computational properties rather than a particular dataset. Our method uses deep neural networks to learn parameter distributions with these computational properties. This methodology is introduced through a motivational example of parameter inference in the stomatogastric ganglion. EPI is then shown to allow precise control over the behavior of inferred parameters and to scale in parameter dimension better than alternative techniques. In the remainder of this work, we present novel theoretical findings in models of primary visual cortex and superior colliculus, which were gained through the examination of complex parametric structure captured by EPI. Beyond its scientific contribution, this work illustrates the variety of analyses possible once deep learning is harnessed towards solving theoretical inverse problems.


Subject(s)
Computational Biology/methods , Models, Neurological , Neural Networks, Computer , Visual Cortex/physiology , Models, Statistical
3.
Nat Neurosci ; 24(8): 1110-1120, 2021 08.
Article in English | MEDLINE | ID: mdl-34083787

ABSTRACT

Context-based sensorimotor routing is a hallmark of executive control. Pharmacological inactivations in rats have implicated the midbrain superior colliculus (SC) in this process. But what specific role is this, and what circuit mechanisms support it? Here we report a subset of rat SC neurons that instantiate a specific link between the representations of context and motor choice. Moreover, these neurons encode animals' choice far earlier than other neurons in the SC or in the frontal cortex, suggesting that their neural dynamics lead choice computation. Optogenetic inactivations revealed that SC activity during context encoding is necessary for choice behavior, even while that choice behavior is robust to inactivations during choice formation. Searches for SC circuit models matching our experimental results identified key circuit predictions while revealing some a priori expected features as unnecessary. Our results reveal circuit mechanisms within the SC that implement response inhibition and context-based vector inversion during executive control.


Subject(s)
Choice Behavior/physiology , Neural Pathways/physiology , Superior Colliculi/physiology , Animals , Behavior, Animal/physiology , Executive Function , Male , Neurons/physiology , Rats , Rats, Long-Evans
4.
Nat Commun ; 12(1): 2727, 2021 05 11.
Article in English | MEDLINE | ID: mdl-33976124

ABSTRACT

Survival in a dynamic environment requires animals to plan future actions based on past sensory evidence, known as motor planning. However, the neuronal circuits underlying this crucial brain function remain elusive. Here, we employ projection-specific imaging and perturbation methods to investigate the direct pathway linking two key nodes in the motor planning network, the secondary motor cortex (M2) and the midbrain superior colliculus (SC), in mice performing a memory-dependent perceptual decision task. We find dynamic coding of choice information in SC-projecting M2 neurons during motor planning and execution, and disruption of this information by inhibiting M2 terminals in SC selectively impaired decision maintenance. Furthermore, we show that while both excitatory and inhibitory SC neurons receive synaptic inputs from M2, these SC subpopulations display differential temporal patterns in choice coding during behavior. Our results reveal the dynamic recruitment of the premotor-collicular pathway as a circuit mechanism for motor planning.


Subject(s)
Neurons/metabolism , Superior Colliculi/metabolism , Animals , Decision Making , Mice , Motor Cortex/metabolism
5.
Nat Neurosci ; 22(6): 963-973, 2019 06.
Article in English | MEDLINE | ID: mdl-31036942

ABSTRACT

The posterior parietal cortex (PPC) has been implicated in perceptual decision-making and categorization, but whether its activity plays a causal role remains controversial. Here we examined the population dynamics of PPC activity during an auditory-guided decision task in mice. We found that silencing of PPC activity impaired several aspects of decision-making. First, categorization of new, but not well-learned, stimuli was impaired. Second, re-categorization of previously experienced stimuli based on newly learned categories was also impaired. Third, the bias on behavioral choices created by preceding trials significantly increased. In vivo two-photon imaging of PPC activity during stimulus categorization revealed differential dynamics in representations of new stimuli and learned categories, consistent with rapid incorporation of new sensory information during categorization. At the circuit level, inactivation of PPC axonal projections to the auditory cortex also significantly reduced categorization performance. Thus, PPC circuits play a causal role in decision-making during stimulus categorization.


Subject(s)
Decision Making/physiology , Neural Pathways/physiology , Parietal Lobe/physiology , Animals , Male , Mice , Mice, Inbred C57BL
7.
Neuron ; 86(6): 1491-503, 2015 Jun 17.
Article in English | MEDLINE | ID: mdl-26087166

ABSTRACT

To study rapid sensorimotor remapping, we developed a method to train rats in a behavior in which subjects are cued, on each trial, to apply a sensorimotor association to orient either toward a visual target ("Pro") or away from it, toward its reverse ("Anti"). Multiple behavioral asymmetries suggested that Anti behavior is cognitively demanding while Pro is easier to learn and perform. This is consistent with a prominent hypothesis in the primate literature that Anti requires prefrontal cortex (PFC), whereas Pro could be mediated by midbrain superior colliculus (SC). Pharmacological inactivation of rat medial PFC supported its expected role in Anti. Remarkably, bilateral SC inactivation substantially impaired Anti while leaving Pro essentially intact. Moreover, SC inactivation eliminated the performance cost of switching from Anti to Pro tasks. Our results establish a rodent model of single-trial sensorimotor remapping and suggest a critical role for SC in the cognitively demanding Anti task.


Subject(s)
Executive Function/physiology , Learning/physiology , Orientation/physiology , Prefrontal Cortex/physiology , Superior Colliculi/physiology , Analysis of Variance , Animals , Attention/physiology , Brain Mapping , Executive Function/drug effects , Functional Laterality/drug effects , Functional Laterality/physiology , GABA Agonists/pharmacology , Inhibition, Psychological , Learning/drug effects , Male , Muscimol/pharmacology , Orientation/drug effects , Prefrontal Cortex/drug effects , Rats , Rats, Long-Evans , Reaction Time/drug effects , Superior Colliculi/drug effects
8.
Elife ; 42015 Apr 14.
Article in English | MEDLINE | ID: mdl-25869470

ABSTRACT

Numerous brain regions have been shown to have neural correlates of gradually accumulating evidence for decision-making, but the causal roles of these regions in decisions driven by accumulation of evidence have yet to be determined. Here, in rats performing an auditory evidence accumulation task, we inactivated the frontal orienting fields (FOF) and posterior parietal cortex (PPC), two rat cortical regions that have neural correlates of accumulating evidence and that have been proposed as central to decision-making. We used a detailed model of the decision process to analyze the effect of inactivations. Inactivation of the FOF induced substantial performance impairments that were quantitatively best described as an impairment in the output pathway of an evidence accumulator with a long integration time constant (>240 ms). In contrast, we found a minimal role for PPC in decisions guided by accumulating auditory evidence, even while finding a strong role for PPC in internally-guided decisions.


Subject(s)
Brain Mapping , Parietal Lobe/physiology , Prefrontal Cortex/physiology , Task Performance and Analysis , Animals , Behavior, Animal , Bias , Choice Behavior , Male , Models, Neurological , Rats, Long-Evans
9.
Nature ; 520(7546): 220-3, 2015 Apr 09.
Article in English | MEDLINE | ID: mdl-25600270

ABSTRACT

Gradual accumulation of evidence is thought to be fundamental for decision-making, and its neural correlates have been found in several brain regions. Here we develop a generalizable method to measure tuning curves that specify the relationship between neural responses and mentally accumulated evidence, and apply it to distinguish the encoding of decision variables in posterior parietal cortex and prefrontal cortex (frontal orienting fields, FOF). We recorded the firing rates of neurons in posterior parietal cortex and FOF from rats performing a perceptual decision-making task. Classical analyses uncovered correlates of accumulating evidence, similar to previous observations in primates and also similar across the two regions. However, tuning curve assays revealed that while the posterior parietal cortex encodes a graded value of the accumulating evidence, the FOF has a more categorical encoding that indicates, throughout the trial, the decision provisionally favoured by the evidence accumulated so far. Contrary to current views, this suggests that premotor activity in the frontal cortex does not have a role in the accumulation process, but instead has a more categorical function, such as transforming accumulated evidence into a discrete choice. To probe causally the role of FOF activity, we optogenetically silenced it during different time points of the trial. Consistent with a role in committing to a categorical choice at the end of the evidence accumulation process, but not consistent with a role during the accumulation itself, a behavioural effect was observed only when FOF silencing occurred at the end of the perceptual stimulus. Our results place important constraints on the circuit logic of brain regions involved in decision-making.


Subject(s)
Decision Making/physiology , Parietal Lobe/physiology , Prefrontal Cortex/physiology , Animals , Halorhodopsins/metabolism , Male , Neural Pathways , Neurons/physiology , Parietal Lobe/cytology , Prefrontal Cortex/cytology , Rats , Rats, Long-Evans
10.
Front Neurosci ; 8: 345, 2014.
Article in English | MEDLINE | ID: mdl-25408633

ABSTRACT

Most adults consume alcohol with relative impunity, but about 10-20% of users persist (or progress) in their consumption, despite mounting and serious repercussions. Identifying at-risk individuals before neuroadaptative changes associated with chronic use become well ingrained is thus a key step in mitigating and preventing the end stage disease and its devastating impacts. Explaining liability has been impeded, in part, by the absence of animal models for assessing initial sensitivity to the drug's reinforcing properties, an important endophenotype in the trajectory toward excessive drinking. Here we assess the initial rewarding effects of the drug in a novel application of the conditioned place preference paradigm. In contrast to previous studies that have all employed repeated drug administration, we demonstrated a robust preference for a context paired with a single exposure to 1.5 g/kg EtOH in male and female subjects of three strains. This model validates an assay of initial sensitivity to the subjective rewarding effects of alcohol, a widely used drug with multifarious impacts on both brain and society, and provides a new tool for theory-driven endophenotypic pharmacogenetic approaches to understanding and treating addiction.

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