activity can be initiated by brief touch and swimming normally stops when the tadpole contacts an object or the water surface with its head [70]-[72]. The role of inhibitory reticulospinal neurons for this behavior was investigated by Perrins et al. [72]. In addition to these, intermittent external inputs are effective tools for the treatment of neurological disorders. It was demonstrated by Boggs et al. [73] that intermittent electrical stimulation of the pudendal nerve can restore bladder emptying. Moreover, the potential of intermittent vagus nerve stimulation to treat chronic hypertension and cardiac arrhythmias was studied by Annoni et al. [74]. The existence and stability of periodic, almost periodic and anti-periodic solutions of neural networks on time scales have been extensively investigated in the literature [15]-[26]. In particular, the papers [21]- [23] were concerned with the dynamics of SICNNs on time scales. The existence and global exponential stability of anti-periodic solutions of impulsive SICNNs with distributed delays on time scales were studied by Li and Shu [21] by means of the coincidence degree method and Lyapunov functionals. On the other hand, periodic solutions of SICNNs of neutral type with time-varying delays in the leakage term on time scales were considered in the paper [22]. Moreover, the existence and asymptotic stability of almost periodic solutions for SICNNs with time-varying and continuously distributed delays on time scales are studied in [23] without assuming the global Lipschitz conditions of activation functions. The concept of almost periodicity was also considered within the scope of the paper [47] by using the reduction technique to impulsive differential equations, and the results of [47] can be developed for neural networks on time scales. However, chaos in neural networks on time scales was not taken into account in these studies. In the papers [75, 76], SICNNs with impulsive effects were investigated, and it was numerically demonstrated that chaos exists in such networks without a theoretical support. The presence of chaos in continuous-time models of SICNNs with impulses, delay and chaotic/almost periodic postsynaptic currents was rigorously proved and supported by simulations in [43]-[46]. Contrarily, in the present paper, we rigorously prove the existence of chaos in SICNNs on time scales. The control of the chaos on time scales is another novelty of our study. The rest of the paper is organized as follows. In Section 2, some basic concepts about differential equations on time scales are provided, and sufficient conditions for the existence of chaos are given. We investigate the existence, uniqueness and attractiveness feature of the bounded solutions of the network (1.2) in Section 3. The main result of the present study is indicated in Section 4, where we rigorously prove the presence of Li-Yorke chaos in the dynamics of (1.2). An illustrative example is presented in Section 5, and a chaos control technique is numerically demonstrated in Section 6 by means of the Pyragas control method. Finally, Section 7 is devoted for conclusions. 4