A CLASSIFICATION OF MOUSE HIPPOCAMPAL NEURONAL TYPES
Julian Budd1, Luca Tar1, Sara Saray1, Daniel Schlingloff1, Zsolt Kohus1, Peter Berki1, Tamas Freund1, Attila Gulyas1, Szabolcs Kali1
Hippocampus is a fundamental structure in learning and memory tasks. To understand how the hippocampus functions in both health and disease, we need to map its complicated neural circuitry and appreciate how each distinct synaptic pathway contributes to the overall processing of sensory and motor information that affects behaviour. In particular, we need to further elucidate the role of diverse sources of synaptic inhibition in regulating hippocampal oscillatory activity. An important step to achieving this goal is to objectively define each distinct neuronal component forming the local circuitry to address key scientific questions, e.g. how many different types of interneuron exist in mouse hippocampus region CA1? This grounding should then make it easier to discover the common hippocampal principles of organization. Here, we will present preliminary results concerning the classification of mouse hippocampal neuronal types based on morphological and electrophysiological features obtained from the reconstruction and analysis of a large dataset obtained in this laboratory. We will compare these results to recently published classifications of mouse CA1 interneurons based on single-cell transcriptomics.