Functional differentiation of macaque visual temporal cortical neurons using a parametric action space.

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Self-organizing neural integration of pose-motion features for human action recognition (2015, background): “These ﬁndings have served to the development of architectures using learned prototype patterns to recognize actions, consistent with the idea that STS neurons integrate both body pose and motion (Vangeneugden et al., 2009).”
Neural and Computational Mechanisms of Action Processing: Interaction between Visual and Motor Representations. (2015, background): “In addition, the similarity of the neural activation patterns of STS neurons match closely the physical similarity between the encoded action patterns (Vangeneugden et al., 2009).”
Physiologically Inspired Model for the Visual Recognition of Transitive Hand Actions (2013, unknown): “Suchtemporalsequenceselectivityiscompatible with neural data, e.g., from the superior temporal sulcus (Jellema and Perrett, 2003; Vangeneugden et al., 2009; Singer and Sheinberg, 2010), and it can be accounted for by recurrent connections between shape-selective neurons (Giese and Poggio, 2003).”
Temporal cortex neurons encode articulated actions as slow sequences of integrated poses (2010, background): “Some respond selectively to specific combinations of orientation and motion direction when monkeys observe humans walking or objects being moved in various locations and directions (Perrett et al., 1985; Oram and Perrett, 1996; Vangeneugden et al., 2009) Many of these neurons even respond to static ”