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NiPt catalysts for the synthesis of iso-butanol: the influence of molar ratio and total metal loading on activity and stability
No full textThe influence of ammonia emissions on the size-resolved global atmospheric aerosol composition and acidity
No full textBenchmarking the correlation between input observation density and emission factor reproduction in a 4D-var data assimilation model
No full textEditorial on the topical issue of charged species in bulk and at interfaces
No full textThe topical issue titled “Charged Species in Bulk and at Interfaces: Interaction, Mobility, Transport, and Regulation” is based on contributions from speakers at three CECAM workshops held in 2016,2018, and 2022. In addition, this editorial is also intended to express our sincere appreciation to our seniorco-organizers, Prof. Jan K. G. Dhont (FZJ, Germany) and Prof. Gerhard Kahl (TU Wien, Austria), fortheir invaluable contributions
Transient Recurrent Dynamics Shape Representations in Mice
No full textDifferent stimuli evoke transient neural responses, but how is stimulus information represented and reshaped by local recurrent circuits? We address this question using Neuropixels recordings from awake mice and recurrent network models, inferring stimulus classes (e.g., visual or tactile) from activity. A two-replica mean-field theory reduces complex network dynamics to three key quantities: the mean population activity () and overlaps (, ), reflecting response variability within and across stimulus classes. The theory predicts the time evolution of , , and . Validated in experiments, it reveals how inhibitory balancing governs the dynamics of , while chaotic dynamics shape overlaps, providing insights into the mechanisms underlying transient stimulus separation. The analysis of mutual information of an optimally trained population activity readout reveals that sparse coding (small ) allows the optimal information representation of multiple stimuli
