“…Although in recent years, considerable evidence has accumulated pointing to highly complex forms of signal analysis and pattern recognition in single neurons (e.g., Caruso et al, 2019; Li et al, 2016; Wiederman & O'Carroll, 2013), most of these findings are difficult to interpret with respect to their single cell mechanisms, as the latter are usually hard to dissociate from wider network functions. In this sense, the works by Anokhin and associates, using cellular analogues of conditional learning, including completely isolated neural soma preparations, may retain specific interest (Ratushnyak & Zapara, 2009; Sinz et al, 1981; Zapara et al, 1989). In particular, these lines of work have shown that depending on the associative value assigned to particular inputs in the course of learning, their processing on the neural membrane could be altered in a selective and stimulus-specific way (Sandler & Tsitolovsky, 2008; Tsitolovsky and Babkina 1991; 2002), presumably based on compartmentalized changes to the intracellular networks controlling local membrane excitability (cf.…”