@article {70372, title = {Universal geometry of compositional construction in prefrontal cortex}, journal = {bioRxiv}, year = {2026}, month = {2026 Apr 23}, abstract = {

Compositional generation underlies the systematic and essentially unlimited construction of complex concepts from simpler parts, as is foundational to intelligent behavior, but its underlying neural mechanisms remain unclear. Here we reveal a neural implementation of hierarchical compositional construction of abstract sequences. We demonstrate that in an open-ended setting with very sparse feedback, rats innately utilize hierarchical composition to construct adaptive action sequences that would have been difficult to discover from scratch. Prefrontal neural population representations of these abstract sequences adhere to a low-dimensional format that encodes the orderly progression of elemental units comprising the sequence while converging to a sequence-general endpoint. Higher-level compositions in the hierarchy are systematically related to their lower-level constituent parts, reusing much of the representation, while providing context separation and satisfying format constraints. These neural representations are geometrically identical across animals, pointing to a convergent solution for how knowledge is hierarchically assembled via a compositional mechanism.

}, doi = {10.64898/2026.04.23.720375}, url = {https://www.biorxiv.org/content/early/2026/04/23/2026.04.23.720375}, author = {Manakov, Maxim and Proskurin, Mikhail and Wang, Hanqing and Kuleshova, Elena and Lustig, Andy and Behnam, Reza and Druckmann, Shaul and Tervo, D. Gowanlock R. and Koay, Sue Ann and Karpova, Alla Y.} } @article {69663, title = {A consensus definition for deep layer 6 excitatory neurons in mouse neocortex}, journal = {bioRxiv}, year = {2024}, month = {2024 Nov 05}, abstract = {

To understand neocortical function, we must first define its cell types. Recent studies indicate that neurons in the deepest cortical layer play roles in mediating thalamocortical interactions and modulating brain state and are implicated in neuropsychiatric disease. However, understanding the functions of deep layer 6 (L6b) neurons has been hampered by the lack of agreed upon definitions for these cell types. We compared commonly used methods for defining L6b neurons, including molecular, transcriptional and morphological approaches as well as transgenic mouse lines, and identified a core population of L6b neurons. This population does not innervate sensory thalamus, unlike layer 6 corticothalamic neurons (L6CThNs) in more superficial layer 6. Rather, single L6b neurons project ipsilaterally between cortical areas. Although L6b neurons undergo early developmental changes, we found that their intrinsic electrophysiological properties were stable after the first postnatal week. Our results provide a consensus definition for L6b neurons, enabling comparisons across studies.

}, doi = {10.1101/2024.11.04.621933}, url = {https://doi.org/10.1101/2024.11.04.621933}, author = {Kim, Su-Jeong and Babola, Travis A. and Lee, Kihwan and Matney, Chanel J. and Spiegel, Alina C. and Liew, Michael H. and Schulteis, Eva M. and Coye, Austin E. and Proskurin, Mikhail and Kang, Hyunwook and Kim, Julia A. and Chevee, Maxime and Lee, Kiwoong and Kanold, Patrick O. and Goff, Loyal A. and Kim, Juhyun and Brown, Solange P} } @article {67235, title = {The anterior cingulate cortex directs exploration of alternative strategies.}, journal = {Neuron}, volume = {109}, year = {2021}, month = {2021 Jun 2}, pages = {1876-87}, abstract = {

The ability to adjust one{\textquoteright}s behavioral strategy in complex environments is at the core of cognition. Doing so efficiently requires monitoring the reliability of the ongoing strategy and, when appropriate, switching away from it to evaluate alternatives. Studies in humans and non-human primates have uncovered signals in the anterior cingulate cortex (ACC) that reflect the pressure to switch away from the ongoing strategy, whereas other ACC signals relate to the pursuit of alternatives. However, whether these signals underlie computations that actually underpin strategy switching or merely reflect tracking of related variables remains unclear. Here we provide causal evidence that the rodent ACC actively arbitrates between persisting with the ongoing behavioral strategy and temporarily switching away to re-evaluate alternatives. Furthermore, by individually perturbing distinct output pathways, we establish that the two associated computations-determining whether to switch strategy and committing to the pursuit of a specific alternative-are segregated in the ACC microcircuitry.

}, issn = {1097-4199}, doi = {10.1016/j.neuron.2021.03.028}, author = {Tervo, D Gowanlock R and Kuleshova, Elena and Manakov, Maxim and Proskurin, Mikhail and Karlsson, Mattias and Lustig, Andy and Behnam, Reza and Karpova, Alla Y} } @article {49474, title = {Expanding the optogenetics toolkit by topological inversion of rhodopsins.}, journal = {Cell}, volume = {175}, year = {2018}, month = {2018 Oct 16}, pages = {1131-40}, abstract = {

Targeted manipulation of activity in specific populations of neurons is important for investigating the neural circuit basis of behavior. Optogenetic approaches using light-sensitive microbial rhodopsins have permitted manipulations to reach a level of temporal precision that is enabling functional circuit dissection. As demand for more precise perturbations to serve specific experimental goals increases, a palette of opsins with diverse selectivity, kinetics, and spectral properties will be needed. Here, we introduce a novel approach of "topological engineering"-inversion of opsins in the plasma membrane-and demonstrate that it can produce variants with unique functional properties of interest for circuit neuroscience. In one striking example, inversion of a Channelrhodopsin variant converted it from a potent activator into a fast-acting inhibitor that operates as a cation pump. Our findings argue that membrane topology provides a useful orthogonal dimension of protein engineering that immediately permits as much as a doubling of the available toolkit.

}, issn = {1097-4172}, doi = {10.1016/j.cell.2018.09.026}, author = {Brown, Jennifer and Behnam, Reza and Coddington, Luke and Tervo, D G R and Martin, Kathleen and Proskurin, Mikhail and Kuleshova, Elena and Park, Junchol and Phillips, James and Bergs, Amelie C F and Gottschalk, Alexander and Dudman, Joshua T and Karpova, Alla Y} } @article {45458, title = {Behavioral variability through stochastic choice and its gating by anterior cingulate cortex.}, journal = {Cell}, volume = {159}, year = {2014}, month = {2014 Sep 25}, pages = {21-32}, abstract = {

Behavioral choices that ignore prior experience promote exploration and unpredictability but are seemingly at odds with the brain{\textquoteright}s tendency to use experience to optimize behavioral choice. Indeed, when faced with virtual competitors, primates resort to strategic counterprediction rather than to stochastic choice. Here, we show that rats also use history- and model-based strategies when faced with similar competitors but can switch to a "stochastic" mode when challenged with a competitor that they cannot defeat by counterprediction. In this mode, outcomes associated with an animal{\textquoteright}s actions are ignored, and normal engagement of anterior cingulate cortex (ACC) is suppressed. Using circuit perturbations in\ transgenic rats, we demonstrate that switching between strategic and stochastic behavioral modes is controlled by locus coeruleus input into ACC. Our\ findings suggest that, under conditions of uncertainty about environmental rules, changes in noradrenergic input alter ACC output and prevent erroneous beliefs from guiding decisions, thus enabling behavioral variation.

}, issn = {1097-4172}, doi = {10.1016/j.cell.2014.08.037}, author = {Tervo, Dougal G R and Proskurin, Mikhail and Manakov, Maxim and Kabra, Mayank and Vollmer, Alison and Branson, Kristin and Karpova, Alla Y} }