{'fraction_non_alphanumeric': 0.01589825119236884, 'fraction_numerical': 0.0047694753577106515, 'mean_word_length': 5.3, 'pattern_counts': {'":': 0, '<': 0, '<?xml version=': 0, '>': 0, 'https://': 0, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
Chapter 2 Neural Encoding II : Reverse Correlation and Visual Receptive Fields 2

The spike-triggered average stimulus introduced in chapter 1 is a standard way of characterizing the selectivity of a neuron. In this chapter, we show how spike-triggered averages and reverse-correlation techniques can be used to construct estimates of firing rates evoked by arbitrary time-dependent stimuli. Firing rates calculated directly from reversecorrelation functions provide only a linear estimate of the response of a neuron, but we also present in this chapter various methods for including nonlinear effects such as firing thresholds.