Wilson, D. E. | Search bioRxiv

bioRxiv2024

An optical brain-machine interface reveals a causal role of posterior parietal cortex in goal-directed navigation

Cortical circuits contain diverse sensory, motor, and cognitive signals, and form densely recurrent networks. This creates challenges for identifying causal relationships between neural populations and behavior. We developed a calcium imaging-based brain-machine interface (BMI) to study the role of posterior parietal cortex (PPC) in controlling navigation in virtual reality. By training a decoder to estimate navigational heading and velocity from PPC activity during virtual navigation, we discovered that mice could immediately navigate toward goal locations when control was switched to BMI. No learning or adaptation was observed during BMI, indicating that naturally occurring PPC activity patterns are sufficient to drive navigational trajectories in real time. During successful BMI trials, decoded trajectories decoupled from the mouses physical movements, suggesting that PPC activity relates to intended trajectories. Our work demonstrates a role for PPC in navigation and offers a BMI approach for investigating causal links between neural activity and behavior.

neuroscience↗

bioRxiv2024

Quantitative species delimitation, tests for gene flow, and migration models uncover complex, recent speciation in tree squirrels

Accurate estimates of species diversity are essential for all biodiversity research. Delimiting species and understanding the underlaying processes of speciation are also central components of systematic biology that outline our comprehension of the evolutionary mechanisms generating biodiversity. We obtained genomic data (Ultraconserved Elements and single nucleotide polymorphisms) for a widespread genus of South American tree squirrels (genus Guerlinguetus) to explore alternative hypotheses on species limits and to clarify recent and rapid speciation on continental-scale and dynamically evolving landscapes. Using a multilayered genomic approach that integrates fine-scale population genetic analyses with quantitative molecular species delimitation methods, we observed that (i) the most likely number of species within Guerlinguetus is six, contrasting with both classic morphological revision and mitochondrial species delimitation; (ii) incongruencies in species relationships still persist, which might be a response to population migration and gene flow taking place in lowlands of eastern Amazonia; and (iii) effective migration surfaces detected important geographic barriers associated with the major Amazonian riverine systems and the mountain ranges of the Guiana shield. In conclusion, we uncovered unexpected species diversity of keystone mammals that are critical in tree-seed predation and dispersal in one of the most fragile and threated ecosystems of the world, the tropical rainforests of South America. Our results corroborate recent findings suggesting that much of the extant species-level diversity in Amazonia is young, dating back to the Quaternary, while also reinforcing long-established hypotheses on the role of rivers and climate-driven forest dynamics triggering Amazonian speciation.

evolutionary biology↗

bioRxiv2017

Stability, affinity and chromatic variants of the glutamate sensor iGluSnFR

Single-wavelength fluorescent reporters allow visualization of specific neurotransmitters with high spatial and temporal resolution. We report variants of the glutamate sensor iGluSnFR that are functionally brighter; can detect sub-micromolar to millimolar concentrations of glutamate; and have blue, green or yellow emission profiles. These variants allow in vivo imaging where original-iGluSnFR was too dim, reveal glutamate transients at individual spine heads, and permit kilohertz imaging with inexpensive, powerful fiber lasers.

neuroscience↗