Assessing Sociability, Social Memory, and Pup Retrieval in Mice.

Adaptive social behavior is important in mammals, both for the well-being of the individual and for the thriving of the species. Dysfunctions in social behavior occur in many neurodevelopmental and psychiatric diseases, and research into the genetic components of disease-relevant social deficits can open up new avenues for understanding the underlying biological mechanisms and therapeutic interventions. Genetically modified mouse models are particularly useful in this respect, and robust experimental protocols are needed to reliably assess relevant social behavior phenotypes. Here we describe in detail three protocols to quantitatively measure sociability, one of the most frequently investigated social behavior phenotypes in mice, using a three-chamber sociability test. These protocols can be extended to also assess social memory. In addition, we provide a detailed protocol on pup retrieval, which is a particularly robust maternal behavior amenable to various scientific questions. © 2017 by John Wiley & Sons, Inc.

Olfactory pattern classification by discrete neuronal network states.

The categorial nature of sensory, cognitive and behavioural acts indicates that the brain classifies neuronal activity patterns into discrete representations. Pattern classification may be achieved by abrupt switching between discrete activity states of neuronal circuits, but few experimental studies have directly tested this. We gradually varied the concentration or molecular identity of odours and optically measured responses across output neurons of the olfactory bulb in zebrafish. Whereas population activity patterns were largely insensitive to changes in odour concentration, morphing of one odour into another resulted in abrupt transitions between odour representations. These transitions were mediated by coordinated response changes among small neuronal ensembles rather than by shifts in the global network state. The olfactory bulb therefore classifies odour-evoked input patterns into many discrete and defined output patterns, as proposed by attractor models. This computation is consistent with perceptual phenomena and may represent a general information processing strategy in the brain.

Transformation of odor representations in target areas of the olfactory bulb.

The brain generates coherent perceptions of objects from elementary sensory inputs. To examine how higher-order representations of smells arise from the activation of discrete combinations of glomeruli, we analyzed transformations of activity patterns between the zebrafish olfactory bulb and two of its telencephalic targets, Vv and Dp. Vv is subpallial whereas Dp is the homolog of olfactory cortex. Both areas lack an obvious topographic organization but perform complementary computations. Responses to different odors and their mixtures indicate that Vv neurons pool convergent inputs, resulting in broadened tuning curves and overlapping odor representations. Neuronal circuits in Dp, in contrast, produce a mixture of excitatory and inhibitory synaptic inputs to each neuron that controls action potential firing in an odor-dependent manner. This mechanism can extract information about combinations of molecular features from ensembles of active and inactive mitral cells, suggesting that pattern processing in Dp establishes representations of odor objects.

Hemodynamic signals correlate tightly with synchronized gamma oscillations.

Functional imaging methods monitor neural activity by measuring hemodynamic signals. These are more closely related to local field potentials (LFPs) than to action potentials. We simultaneously recorded electrical and hemodynamic responses in the cat visual cortex. Increasing stimulus strength enhanced spiking activity, high-frequency LFP oscillations, and hemodynamic responses. With constant stimulus intensity, the hemodynamic response fluctuated; these fluctuations were only loosely related to action potential frequency but tightly correlated to the power of LFP oscillations in the gamma range. These oscillations increase with the synchrony of synaptic events, which suggests a close correlation between hemodynamic responses and neuronal synchronization.